Method, portable device, and system for detecting physiological phenotype of crops

Physiological characterization detection method of crops, portable detection device and detection system

METHOD, PORTABLE DEVICE, AND SYSTEM FOR DETECTING PHYSIOLOGICAL PHENOTYPE OF CROPS

The invention provides a detection method, a portable detection device and a detection system for the physiological characterization of crops, and particularly relates to a detection method, a portable detection device and a detection system for judging the physiological characterization of the crop according to the appearance and color of the crop.

Generally speaking, the appearance and color of crops are related to the judgment of fertilization or fruit maturity. Therefore, farmers mostly use the physical "leaf color chart" or "color chart" made of cardboard or other materials to determine the appearance and color of the crops, so as to know the physiological characteristics of the crops (such as the growth status of the crops). , Which in turn can guide farmers' agricultural work. For example, farmers will use the "leaf color card" to determine the color of rice leaves, in order to infer the amount of nitrogen fertilizer applied. For another example, farmers use "colorimetric cards" to judge the appearance and color of fruits to infer the ripeness of the fruits.

However, the above-mentioned use of "leaf color card" or "colorimetric card" to determine the appearance color of crops requires manual interpretation and separate records, which leads to errors in the judgment results and often incomplete records. In addition, farmers usually judge the appearance color of crops in an open environment (such as an outdoor environment), and the light in the open environment often changes differently, which will seriously affect the result of farmers judging the appearance color of the crop, causing greater errors in the judgment result. This leads to misjudgment of the physiological characteristics of crops. Therefore, if a set of methods, devices, and systems for automatically judging the appearance and color of crops and recording the judgment results are developed, the error of the judgment results can be greatly reduced.

The embodiment of the present invention provides a method for detecting physiological characterization of crops, which is suitable for a portable detection device and used for detecting physiological characterization information of a specified crop. The method for detecting physiological characterization of crops includes: Step A: Select a plurality of digital color palettes corresponding to the specified crop from a color palette database according to the specified crop. Each digital color plate corresponds to a specific brightness and a specific object distance. Each digital color plate has multiple control color information, and each control color information corresponds to one of the physiological information of the specified crop; Step B: Capture the specified A to-be-detected image of a crop is obtained, and color information corresponding to the to-be-detected image is obtained; Step C: Detect an object distance between the brightness of an environment and the designated crop and the portable detection device; Step D: According to the brightness of the environment In relation to the object distance, an adaptive digital color palette corresponding to the image to be detected is determined from a plurality of digital color palettes; Step E: compares the color information of the image to be detected with the multiple contrast color information of the adaptive digital color palette, and is based on more One of the control color information and the correlation of the color information is selected from a plurality of control color information; and step F: the corresponding physiological information is displayed according to the selected control color information.

The embodiment of the present invention provides a portable detection device for crops, and is used to detect physiological characteristic information of a specified crop. The portable detection device includes an image capturing component, an ambient light sensor, a distance measuring component, a color palette database and a processor. The image capturing component captures an image to be detected of a designated crop. The ambient light sensor detects the brightness of an ambient light. The distance measuring element detects an object distance between the designated crop and the portable detection device. The swatch database stores a plurality of digital swatches of the specified crops. Each digital color plate corresponds to a specific brightness and a specific object distance, and has a plurality of contrast color information. Each control color information corresponds to one of the physiological information of the designated crop. The processor is electrically connected to the image capturing component, the ambient light sensor, the distance measuring component and the color palette database. The processor obtains the color information corresponding to one of the images to be detected, selects a plurality of digital color palettes corresponding to the specified crop from the color palette database according to the specified crop, and selects multiple digital color palettes corresponding to the specified crop according to the ambient light brightness, object distance and multiple digital color palettes. Determine the corresponding to be detected in the color palette One of the images is an adaptive digital color palette. The processor compares the color information of the image to be tested with the multiple contrast color information of the adaptive digital color palette, and selects one of the multiple contrast color information based on the correlation between the multiple contrast color information and the color information, and based The selected control color information displays the corresponding physiological information to a display.

The embodiment of the present invention provides a crop detection system, and is used to detect physiological characterization information of a specified crop. The detection system includes a remote server and a portable detection device. The remote server stores a plurality of digital color palettes of the specified crops. Each digital color plate corresponds to a specific brightness and a specific object distance, and has a plurality of control color information, and each control color information corresponds to one of the physiological information of the designated crop. The portable detection device is connected to a remote server via a wireless network to receive multiple digital color panels, specific brightness of each digital color panel, specific object distance, and multiple comparison color information. The portable detection device includes an image capturing element, an ambient light sensor, a distance measuring element and a processor. The image capturing component captures an image to be detected of a designated crop. The ambient light sensor detects the brightness of an ambient light. The distance measuring element detects an object distance between the designated crop and the portable detection device. The processor is electrically connected to the image capturing component, the ambient light sensor and the ranging component. The processor obtains the color information corresponding to the image to be detected, and according to the ambient light brightness and the object distance, determines an adaptive digital color palette corresponding to the image to be detected from a plurality of digital color palettes. The processor compares the color information of the detected image with the multiple contrast color information of the adaptive digital color palette, and selects one of the multiple contrast color information based on the correlation between the multiple contrast color information and the color information, and transmits The wireless network transmits the selected control color information to the remote server to display the corresponding physiological information.

In summary, the crop physiological characterization detection method, portable detection device, and detection system provided by the embodiments of the present invention are determined according to the distance between the designated crop and the portable detection device, and the current ambient light brightness A digital color palette, and automatically determine which color information of the selected digital color palette the appearance color of the specified crop belongs to, so as to avoid errors in the judgment result caused by manual judgment and the influence of light from the open environment. And the selected control color information will correspond to the specified crop A physiological information to provide farmers with an understanding of the current physiological characteristics of the designated crop.

In order to further understand the features and technical content of the present invention, please refer to the following detailed descriptions and drawings about the present invention, but these descriptions and accompanying drawings are only used to illustrate the present invention, not the rights to the present invention. The scope is subject to any restrictions.

<p>100, 200Portable detection device</p><p>110,210Image capture components</p><p>120,220Ambient light sensor</p><p>130,230Ranging element</p><p>140, 240 processor</p><p>150Swatch Database</p><p>160Display</p><p>300Detection System</p><p>305Remote Server</p><p>PtCrop Image</p><p>FrdDetection frame range</p><p>ImdImage to be detected</p><p>S310, S320, S330, S340, S350, S360Step</p>

FIG. 1 is a schematic diagram of a portable inspection device for crops according to an embodiment of the present invention.

Fig. 2 is a schematic diagram of an image to be detected according to an embodiment of the present invention.

Fig. 3 is a flowchart of a method for detecting physiological characteristics of crops according to an embodiment of the present invention.

Fig. 4 is a schematic diagram of a crop detection system according to an embodiment of the present invention.

Hereinafter, the present invention will be described in detail by illustrating various exemplary embodiments of the present invention with drawings. However, the inventive concept may be embodied in many different forms, and should not be construed as being limited to the exemplary embodiments set forth herein. In addition, the same reference numbers may be used to indicate similar elements in the drawings.

Embodiments of the present invention provide a method for detecting physiological characterization of crops, a portable detecting device, and a detecting system, which capture color information of an image of a specified crop (such as rice leaves, bananas, tomatoes, etc.) to automatically determine the captured The color information of which belongs to the control color information in the digital swatch. Furthermore, the portable detection device selects a digital color palette that matches the current ambient light brightness and the distance between the designated crop and the portable detection device from a plurality of digital color palettes, so as to reduce the influence of the environmental light source. And eliminate the chromaticity error caused by the different distance between the designated crop and the portable detection device. Then it is judged which contrast color information in the selected digital color palette the color information of the image belongs to. The selected control color information corresponds to a physiological information of the designated crop, so as to provide farmers with an understanding of the current physiological characteristics of the designated crop. Accordingly, the present invention can avoid the judgment result caused by manual judgment and different distances. The resulting chromaticity error and the influence of light in the open environment produce errors, which in turn cause misjudgment of the physiological representation of crops. The following will further introduce the crop physiological characterization detection method, portable detection device and detection system disclosed in the present invention.

First, please refer to FIG. 1, which shows a schematic diagram of a portable inspection device for crops according to an embodiment of the present invention. As shown in FIG. 1, the portable detection device 100 can be used to detect physiological characterization information (such as the growth status of the designated crop) of a designated crop (such as rice leaves, corn, banana, tomato, etc.), so as to provide farmers with understanding Specify the current physiological condition of the crop. The portable detection device 100 includes an image capturing element 110, an ambient light sensor 120, a distance measuring element 130, a processor 140, a color palette database 150, and a display 160. In this embodiment, the portable detection device 100 may be a mobile phone, and may also be other portable electronic devices, such as a tablet, a notebook computer, etc., which is not limited by the present invention.

Please also refer to FIG. 2, which shows a schematic diagram of an image to be detected according to an embodiment of the present invention. The image capturing component 110 is used to capture an image Imd of a designated crop to be detected. Furthermore, the image capturing element 110 captures a crop image Pt representing one of the designated crops, the processor 140 can display a detection frame range Frd through the display 160, and captures from the crop image Pt through the detection frame range Frd The image Imd to be detected is processed by the processor 140. For example, if the designated crop is a banana, the farmer uses the image capturing element 110 to capture a crop image Pt representing the banana. The detection frame range Frd provided by the processor 140 allows the farmer to move the position to capture the crop image Pt to be detected. The image Imd is used by the processor 140 to determine the current physiological condition of the banana.

The ambient light sensor 120 is used to detect the brightness of an ambient light and transmit the brightness of the ambient light to the processor 140. The distance measuring element 130 is used to detect an object distance between the designated crop and the portable detection device 100 to the processor 140. Furthermore, the ambient light sensor 120 and the distance measuring element 130 are preferably arranged adjacent to the image capturing element 110 to detect more accurate ambient light brightness and object distance. The ambient light sensor 120 and the distance measuring element 130 can also be arranged in other positions of the portable detection device 100. The invention does not limit this.

The swatch database 150 stores a plurality of digital swatches of various crops, that is, a plurality of digital swatches of various crops, including a plurality of digital swatches of designated crops. Each digital color plate corresponds to a specific brightness and a specific object distance, and has a plurality of contrast color information. Each control color information corresponds to the physiological information of one of the designated crops. For example, the following table &lt;1&gt; shows multiple digital color palettes for bananas as designated crops.

<tables><img id="" he="708" wi="2006" file="tw201719146a_d0001.tif" alt="" img-content="drawing" img-format="tif" orientation="portrait" inline="no" /></tables>

It can be seen from the above table &lt;1&gt; that there are 18 digital swatches related to bananas stored in the swatch database 150, namely, digital swatches 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18. Each digital color palette 1-18 corresponds to a specific brightness and a specific object distance. Each digital color palette 1-18 has a plurality of contrast color information, so as to provide the processor 140 to determine from the digital color palette 1-18 the contrast color information that matches the image Imd to be detected.

For example, the specific brightness and specific object distance corresponding to the digital color palette 10 are 600 Lux and 10 cm, respectively. The multiple control color information of the digital color palette 10 is shown in the following table &lt;2&gt;. The digital color palette 10 has 4 sets of control color information, namely, control color information D1, D2, D3, D4, and each control color information D1-D4 There are red pixels, green pixels and blue pixels respectively. And each control color information D1-D4 will correspond to the physiological information of the banana as the designated crop. In this example, the control color information D1-D4 corresponds to the different degrees of "ripeness" of the banana. And the processor 140 How to determine the control color information D1-D4 matching the image Imd to be detected from the digital color palette 1-18 will be described in the following embodiments, so it will not be repeated here.

<tables><img id="" he="568" wi="1394" file="tw201719146a_d0002.tif" alt="" img-content="drawing" img-format="tif" orientation="portrait" inline="no" /></tables>

The processor 140 is electrically connected to the image capturing element 110, the ambient light sensor 120, the distance measuring element 130, and the color palette database 150. The processor 140 receives the to-be-detected image Imd generated by the image capturing element 110 to obtain a piece of color information corresponding to the to-be-detected image Imd. Furthermore, in the process of obtaining the color information of the image Imd to be detected, the processor 140 can average a plurality of pixels of the image Imd to be detected to obtain the color information representing the image Imd to be detected. Alternatively, the processor 140 may select a pixel with the largest number from a plurality of pixels of the image Imd to be detected to obtain color information representing the image Imd to be detected. The processor 140 may also obtain the color information of the image Imd to be detected in other ways, which is not limited by the present invention. In addition, in this embodiment, the color information of the image Imd to be detected is represented by the red pixels, green pixels, and blue pixels in the RGB color model, and the color information is expressed in the same way as the control color information of the digital color palette. same. That is, if the control color information of the digital color palette is represented by the YCbCr color model, the color information will also be represented by the YCbCr color model.

Next, the processor 140 will select a plurality of digital color palettes corresponding to the specified crop from the color palette database 150 according to the specified crop. The processor 140 will then determine an adaptive digital color palette corresponding to the image Imd to be detected from the plurality of digital color palettes according to the ambient light brightness and the object distance. Furthermore, the processor 140 will select the one that has the greatest correlation with the ambient light brightness and the object distance from the above-mentioned digital color palettes according to the specific brightness and specific object distance of each digital color palette corresponding to the specified crop, and compare all Selected digit The color palette is used as an adaptive digital color palette that meets the Imd of the image to be detected. Therefore, through the above method, the processor 140 can reduce the influence of the chromaticity error caused by the ambient light source and different object distances on the adaptive digital color panel. It is worth noting that the digital color palette with the greatest correlation between ambient light brightness and object distance indicates that its specific brightness and specific object distance are closest to the ambient light brightness and object distance.

In this embodiment, the processor 140 will select from the digital color palettes at least one digital color palette that has the greatest correlation with the ambient light brightness according to the specific brightness of each digital color palette corresponding to the specified crop (for example, the ambient light brightness is closest to The specific brightness of the selected digital color palette). Then, the processor 140 then selects the one with the greatest correlation with the object distance from the at least one digital color palette with the greatest correlation with the ambient light brightness according to the specific object distance of each digital color palette corresponding to the specified crop (indicating the highest object distance). Close to the specific object distance of the selected digital color palette), and use the last selected digital color palette as an adaptive digital color palette that meets the Imd of the image to be detected. That is, the processor 140 first selects at least one digital color palette closest to the ambient light brightness from the digital color palettes corresponding to the designated crop, and then selects the digital color palette closest to the object distance from the selected at least one digital color palette. According to this, the last selected digital color palette will be the closest to the ambient light brightness and object distance of the specified crop at that time.

Following the above example and table &lt;1&gt;, the processor 140 will select the digital color palettes 1-18 of bananas from the color palette database 150. Each digital color palette 1-18 has its own specific brightness and specific object distance. At this time, if the ambient light sensor 120 detects that the ambient light brightness is 550 Lux, and the distance measuring element 130 detects that the object distance is 15.5cm, the processor 140 will first according to the specific brightness of each digital color palette 1-185 to 400 Lux , 600Lux and 800Lux, from the digital color panels 1-18, determine the digital color panel 7-12 that has the greatest correlation with the ambient light brightness (ie 550Lux) (that is, the digital color panel 7-12 with a specific brightness of 600Lux is the closest to 550Lux). Then the processor 140 selects the digital color palettes 7-12 with the greatest correlation with the object distance (ie 15.5cm) according to the specific object distances of the digital color palettes 7-12, 10cm, 12cm, 14cm, 16cm, 18cm, and 20cm. Color swatch 10 (that is, the digital swatch 10 with a specific object distance of 16cm is closest to 15.5cm), and the last selected digital color The board 10 serves as an adaptive digital color board. Therefore, through the above method, the processor 140 can reduce the influence of the chromaticity error caused by the ambient light source and different object distances on the adaptive digital color panel.

In other embodiments, the processor 140 can also regenerate the required adaptive digital color palette based on the existing digital color palette. The processor 140 can first select at least two digital color panels from the above-mentioned digital color panels that are closely related to the ambient light brightness and the object distance according to the specific brightness and specific object distance of each digital color panel corresponding to the designated crop, and according to The selected at least two digital color palettes calculate a plurality of control color information conforming to the adaptive digital color palette, and calculate the physiological information corresponding to each control color information.

At this time, the specific brightness and specific object distance of the adaptive digital color palette will be the ambient light brightness and the object distance, respectively. For example, the processor 140 uses an algorithm to calculate a plurality of comparison color information in accordance with the adaptive digital color palette. The above-mentioned algorithm can be configured according to the actual conditions among multiple digital color panels, which is not limited by the present invention. Hereinafter, the processor 140 selects four digital color panels that are closely related to the ambient light brightness and object distance from the above-mentioned digital color panels, and then generates a new digital color panel as an example.

For example, the processor 140 selects a digital color palette 1-18 such as bananas in Table &lt;1&gt; from the color palette database 150. Each digital color palette 1-18 has its own specific brightness and specific object distance. It is worth noting that if the ambient light sensor 120 detects that the ambient light brightness is 500 Lux and the distance measuring element 130 detects the object distance is 15 cm, the specific brightness and specific object distance of the adaptive digital color palette will be 500 Lux and respectively. 15cm. Next, the processor 140 will select four digital color palettes 4-5, 10-11 that are closely related to the ambient light brightness (500 Lux) and object distance (15cm) from the digital color palettes 1-18, and compare the digital color palettes 4-5, 10-11 are renumbered as digital color palette 1-4.

The multiple comparison color information of the renumbered digital swatches 1-4 are shown in the following table &lt;3&gt;. The renumbered digital swatches 1-4 have two sets of comparison color information, namely, the comparison color information D1, D2, and each Each control color information D1, D2 has red pixels, green pixels, and blue pixels, respectively.

<tables><img id="" he="924" wi="1334" file="tw201719146a_d0003.tif" alt="" img-content="drawing" img-format="tif" orientation="portrait" inline="no" /></tables>

After the processor 140 obtains the renumbered digital color palettes 1-4, the processor 140 then uses an algorithm to calculate a plurality of contrast color information D1, D2 that match the adaptive digital color palettes. The algorithm is shown in Equation 1, Equation 2 and Equation 3:<maths><img id="" he="344" wi="1110" file="TW201719146A_D0004.tif" alt="" img-content="drawing" img-format="tif" orientation="portrait" inline="no" /></maths>

in,<i>N</i>Select the number of digital color panels for the processor 140 (in this example, the processor 140 selects 4 digital color panels 4-5, 10-11 and renumbered as digital color panels 1-4), n is greater than or equal to 1 The distance factor,<i>dist</i>_<i>i</i>For the adaptive digital color palette and the<i>i</i>The distance between the digital swatches,<i>R</i>_<i>i</i>For the first<i>i</i>The red pixels of a digital color palette (in this example, the red pixels corresponding to the renumbered digital color palettes 1-4 are 35, 23, 60, 79, respectively).

<maths><img id="" he="329" wi="1023" file="TW201719146A_D0005.tif" alt="" img-content="drawing" img-format="tif" orientation="portrait" inline="no" /></maths>

in,<i>N</i>Select the number of digital color panels for the processor 140 (in this example, the processor 140 selects 4 digital color panels 4-5, 10-11 and renumbered as digital color panels 1-4), n is greater than or equal to 1 The distance factor,<i>dist</i>_<i>i</i>For adaptable digital color palette and NS<i>i</i>The distance between the digital swatches,<i>G</i>_<i>i</i>For the first<i>i</i>The green pixels of a digital color palette (in this example, the green pixels corresponding to the renumbered digital color palettes 1-4 are 88, 69, 30, and 136, respectively).

<maths><img id="" he="341" wi="1027" file="TW201719146A_D0006.tif" alt="" img-content="drawing" img-format="tif" orientation="portrait" inline="no" /></maths>

in,<i>N</i>Select the number of digital color panels for the processor 140 (in this example, the processor 140 selects 4 digital color panels 4-5, 10-11 and renumbered as digital color panels 1-4), n is greater than or equal to 1 The distance factor,<i>dist</i>_<i>i</i>For the adaptive digital color palette and the<i>i</i>The distance between the digital swatches,<i>G</i>_<i>i</i>For the first<i>i</i>The blue pixels of a digital color palette (in this example, the blue pixels corresponding to the renumbered digital color palettes 1-4 are 8, 0, 0, 30, respectively).

In this embodiment, n is set to 2. Therefore, the processor 140 can calculate a plurality of control color information D1 and D2 that conform to the adaptive digital color palette through Equation 1 to Equation 3. Following the above example and table &lt;3&gt;, the control color information D1 of the adaptive digital color palette is: (red pixels, green pixels, blue pixels)<maths><img id="" he="1000" wi="2013" file="TW201719146A_D0007.tif" alt="" img-content="drawing" img-format="tif" orientation="portrait" inline="no" /></maths>And the control color information D2 of the adaptive digital color palette is simplified by formula 1 and formula 3 as: (Red pixels, green pixels, blue pixels)<maths><img id="" he="170" wi="2017" file="TW201719146A_D0008.tif" alt="" img-content="drawing" img-format="tif" orientation="portrait" inline="no" /></maths>

Accordingly, the processor 140 can obtain the specific brightness of the adaptive digital color panel as ambient light brightness (ie 500 Lux) and the specific object distance as the object distance (ie 15 cm), and calculate the control color information D1 of the adaptive digital color panel. , D2 are (49,81,10) and (64,92,13) respectively.

After the processor 140 calculates the comparison color information of the adaptive digital color palette, the processor 140 will find the closest comparison color information from the multiple comparison color information stored in the color palette database D1=(49,81,10) And D2=(64,92,13) physiological information. For example, the processor 140 can use an algorithm to calculate the physiological information closest to the control color information D1 and D2. For example, the control color information D1=(49,81,10) means that the physiological information of the specified crop is 30~60%, and the control color information D2=(64,92,13) means that the physiological information of the specified crop is the maturity 81 ~100%. The processor 140 can also calculate the physiological information corresponding to the control color information D1 and D2 through other methods, which is not limited in the present invention.

After the processor 140 determines the adaptive digital color palette, next, the processor 140 compares the color information of the image Imd to be detected with each control color information in the adaptive digital color palette, according to each control color information and color The relevance of the information is selected from a plurality of comparison color information. Furthermore, the processor 140 will use a correlation analysis to determine which of the control color information in the adaptive digital color palette the color information of the image Imd to be detected is most related to (representing which of the color information of the image Imd to be detected is closest to A comparison color information). In this embodiment, the correlation analysis uses a correlation function to calculate the degree of correlation between the color information of the image Imd to be detected and each control color information of the adaptive digital color palette. The related function is shown in Equation 4:<maths><img id="" he="235" wi="1964" file="TW201719146A_D0009.tif" alt="" img-content="drawing" img-format="tif" orientation="portrait" inline="no" /></maths>

Among them, R0, G0 and B0 respectively represent the red pixel, the green pixel and the blue pixel in the color information of the image Imd to be detected. Ri, Gi and Bi respectively represent the red pixel, green pixel and blue pixel of the n-th comparison color information. Therefore, if there are four control color information, and the third control color information is calculated according to the correlation function to have the greatest correlation, it means that the color information of the image Imd to be detected is closest to the third control color information. At this time, the processor 140 will select the third control color information, and display the physiological information corresponding to the third control color information to the display 160, so as to provide the farmer with an understanding of the current physiological characteristics of the specified crop. The processor 140 can also use other correlation analysis to obtain the control color information most relevant to the color information of the image Imd to be detected, which is not limited in the present invention.

Following the above example and table &lt;2&gt;, that is, the adaptive digital color palette is the digital color palette 10, and has contrast color information D1-D4. If the color information of the image Imd to be detected by the processor 140 is (number of red pixels, green pixels, and blue pixels)=(20, 60, 0). At this time, the degree of correlation between the color information of the image Imd to be detected and the control color information D1 is as follows:<maths><img id="" he="189" wi="1576" file="TW201719146A_D0010.tif" alt="" img-content="drawing" img-format="tif" orientation="portrait" inline="no" /></maths>

The degree of correlation between the color information of the image Imd to be detected and the control color information D2 is as follows:<maths><img id="" he="200" wi="1462" file="TW201719146A_D0011.tif" alt="" img-content="drawing" img-format="tif" orientation="portrait" inline="no" /></maths>

The degree of correlation between the color information of the image Imd to be detected and the control color information D3 is as follows:<maths><img id="" he="193" wi="1568" file="TW201719146A_D0012.tif" alt="" img-content="drawing" img-format="tif" orientation="portrait" inline="no" /></maths>

The degree of correlation between the color information of the image Imd to be detected and the control color information D4 is as follows:<maths><img id="" he="181" wi="1527" file="TW201719146A_D0013.tif" alt="" img-content="drawing" img-format="tif" orientation="portrait" inline="no" /></maths>

Therefore, it can be seen from the above that the color information of the image Imd to be detected has the greatest correlation with the control color information D3. Therefore, the processor 140 will select the control color information D3, and display the physiological information of the control color information D3 (that is, the maturity degree is 31-60%) to the display 160, so as to provide farmers with an understanding of the current physiological characteristics of the specified crop (such as banana).

Based on the above-mentioned embodiments, the present invention can generalize a method for detecting physiological characterization of crops, which is suitable for the portable detection device 100 described in the above-mentioned embodiment to detect physiological characterization information of specified crops. Please refer to Figure 3, and refer to Figure 1 at the same time. FIG. 3 shows a flowchart of a method for detecting physiological characteristics of crops according to an embodiment of the present invention. First, the processor 140 of the portable detection device 100 selects a plurality of digital color palettes corresponding to the specified crop from the color palette database 150 according to the specified crop (step S310).

Each digital color plate corresponds to a specific brightness and a specific object distance (for example, the digital color plate 10 in the above table &lt;1&gt; corresponds to a specific brightness and a specific object distance of 400 Lux and 16 cm, respectively). Each digital swatch has multiple control color information (as in the above table &lt;2&gt;, the digital swatch 10 has control color information D1-D4), and each control color information corresponds to one of the physiological information of the specified crop (as in the above table) &lt;2&gt;Compare the ripeness of bananas in the color information D1-D4). Then, the image capturing component 110 captures an image of a designated crop to be inspected, and the processor 140 obtains color information corresponding to the image Imd to be inspected (step S320). Then the ambient light sensor 120 detects the brightness of an ambient light and the distance measuring element 130 detects an object distance between the designated crop and the portable detection device 100 (step S330). The related steps S310-S330 have been described in the above-mentioned embodiment, so they will not be repeated here.

Next, the processor 140 of the portable detection device 100 will determine an adaptive digital color palette corresponding to the image Imd to be detected from the plurality of digital color palettes according to the ambient light brightness and the object distance (step S340). As in the above example, the processor 140 selects the digital color palette 10 from the digital color palettes 7-12 as the adaptive digital color palette. The related step S340 has been described in the above-mentioned embodiment, so it will not be repeated here.

After obtaining the adaptive digital color palette, the processor 140 then compares the color information of the image Imd to be detected with a plurality of comparison color information of the adaptive digital color palette, and based on the correlation between the plurality of comparison color information and the color information, One of the plurality of comparison color information is selected (step S350). As in the above example, the processor 140 compares the color information as (number of red pixels, number of green pixels, and number of blue pixels)=(20,60,0) and compares the color information D1-D4, and selects the correlation with the color information The largest comparison color information D3. Similarly, the relevant step S350 has been described in the above-mentioned embodiment, so it will not be repeated here.

Then, the processor 140 displays the corresponding physiological information to the display 140 according to the selected contrast color information (step S360). As in the above example, the physiological information of the control color information D3 represents a maturity of 31-60%. The relevant step S360 has been described in the above-mentioned embodiment, so it will not be repeated here. Accordingly, farmers will be able to understand the current physiological characteristics of designated crops through the physiological characterization detection method of this embodiment.

Next, please refer to FIG. 4, which shows a schematic diagram of a crop detection system according to an embodiment of the present invention. As shown in FIG. 4, the detection system 300 includes a remote server 305 and a portable detection device 200 to detect physiological characterization information of a specified crop. The remote server 305 stores a plurality of digital swatches of various crops, and the plurality of digital swatches of various crops includes a plurality of digital swatches of designated crops. The multiple digital color palettes related to the remote server 305 are substantially the same as the multiple digital color palettes of the color palette database 150 of the portable detection device 100, so the details are not repeated here.

The portable detection device 200 is connected to a remote server 305 through a wireless network to receive a plurality of digital color panels, a specific brightness of each digital color panel, a specific object distance, and a plurality of contrast color information. The image capturing element 210, the ambient light sensor 220, the distance measuring element 230, and the processor 240 of the portable detection device 200 are roughly the same as the image capturing element 110 and the ambient light sensor of the portable detection device 100. The sensor 120 and the ranging element 130 are the same as the processor 140, so they will not be repeated here.

The difference is that multiple digital color palettes of the designated crop are stored in the remote server 305. Therefore, the portable detection device 200 does not need to store multiple digits The color palette can save the storage space of the portable detection device 200. In addition, if multiple digital color palettes are updated, the portable detection device 200 can also receive the updated multiple digital color palettes from the remote server 305.

In summary, the crop physiological characterization detection method, portable detection device, and detection system provided by the embodiments of the present invention are determined according to the distance between the designated crop and the portable detection device, and the current ambient light brightness. A digital color palette, and automatically determine which color information of the selected digital color palette the appearance color of the specified crop belongs to, so as to avoid errors in the judgment result caused by manual judgment and the influence of light from the open environment. The selected control color information corresponds to the physiological information of one of the designated crops, so as to provide farmers with an understanding of the current physiological characteristics of the designated crop.

The above are only the embodiments of the present invention, and they are not intended to limit the patent scope of the present invention.