JP2014008005A - Disease contraction diagnostic method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To accurately discriminate between a tree contracting a disease and a sound tree without the need of experience and skill.SOLUTION: A disease contraction diagnostic method includes a measurement step to measure the surface temperature of a leaf of Hevea brasiliensis, and a determination step to determine whether the Hevea brasiliensis contracts a disease on the basis of the measured temperature obtained in the measurement step.

Description

  The present invention relates to a disease diagnosis method for distinguishing between a diseased tree (infected tree) and a healthy tree (non-infected tree) in a rubber tree (para rubber tree).

  Conventionally, in a rubber tree (para rubber tree) plantation, it is necessary to determine whether or not the patient is afflicted, and if it is afflicted, appropriate management is required. The disease diagnosis that distinguishes diseased trees (infected trees) from healthy trees (non-infected trees) was based on the intuition and experience of workers working in the farm. The infection is specifically WRD (White Root Disease).

  For example, although it is not a para rubber tree, in oil palm, the technique which detects a stem blight disease at a gene level is proposed (for example, refer patent document 1). When oil palm suffers from stem blight, the tree organization committee decays, resulting in a loss of collection of edible or industrial oils and fats.

JP 2001-314199 A

  As described above, the conventional technique is based on the intuition and experience of the workers, so the accuracy is not necessarily high, and it requires experience and skill, and no one can easily diagnose. . In addition, the technique of Patent Document 1 described above is specialized in oil palm, and is difficult to apply to rubber trees (para rubber tree), and diagnosis at the gene level can be easily performed in the field. There was a problem that it was difficult to implement.

  The present invention has been made in view of such circumstances, and its purpose is to distinguish between a diseased tree (infected tree) and a healthy tree (non-infected tree) without requiring experience or skill. It is an object of the present invention to provide a disease diagnosis method that can be performed with high accuracy.

  In order to solve the above-described problem, a disease diagnosis method according to an embodiment of the present invention includes a measurement step of measuring a surface temperature of a leaf of Para rubber tree, and the para rubber tree based on the measurement temperature obtained by the measurement step. And a discriminating step for discriminating whether or not the patient is afflicted. Thereby, it is possible to accurately distinguish between a diseased tree and a healthy tree without requiring experience or skill.

  In the disease diagnosis method, the determining step determines that the para rubber tree is not afflicted if the measurement temperature obtained by the measuring step is lower than a predetermined temperature, and the para rubber tree is ill if it is equal to or higher than the predetermined temperature. You may make it discriminate | determine that it is doing. The predetermined temperature may be approximately 28 ° C.

  In the disease diagnosis method, the measurement step may be performed on a cloudy day. In the disease diagnosis method, the measuring step is a step of measuring the surface temperature every 2 to 3 hours, 3 to 5 times, and the determining step is to measure the surface temperature for 2 to 3 hours. You may make it discriminate | determine whether the said Para rubber tree is afflicted using the average value obtained by measuring 3-5 times every other. Thereby, a diseased tree and a healthy tree can be distinguished more accurately.

  As described above, according to the present invention, it is possible to accurately distinguish between a diseased tree and a healthy tree without requiring experience or skill.

It is explanatory drawing for demonstrating the disease diagnosis method by embodiment of this invention.

  The disease diagnosis method according to the embodiment of the present invention is a method of diagnosing whether or not the rubber tree is afflicted from the surface temperature of the leaves of the rubber tree (for example, para rubber tree) to be diagnosed. Hereinafter, the disease diagnosis method according to the embodiment of the present invention will be described in accordance with the procedure.

(Procedure 1 / Measurement process)
Using an infrared camera (also called a thermal camera or thermal image camera) that can output a thermographic image (also called a thermal image) that visualizes and expresses the temperature of a subject (for example, expressed by a color distribution), the rubber to be diagnosed Take an image of a tree (eg, a rubber tree in a farm).
The imaging date is preferably cloudy. In addition, when taking an image, the image is taken so that the leaves are always captured. In short, imaging is performed so that at least the surface temperature of the leaves of the rubber tree can be measured.

  Since the thermographic image is used to determine whether or not the rubber tree is affected, the thermographic image used for the determination is an expression color for the measured temperature (range) of the subject so that the determination is easy. Is preferably set arbitrarily. Therefore, for example, an infrared camera that displays a thermographic image in which the relationship between the measured temperature and the expression color can be set in advance may be used. In addition, when using an infrared camera that cannot change the relationship between the measured temperature and the expression color on the thermographic image, an apparatus that can change the expression color of the thermographic image obtained from the infrared camera (for example, analysis software operates) A personal computer may be prepared separately.

  The above-described imaging of the rubber tree (that is, measurement of the surface temperature of the rubber tree leaf) is preferably performed 3 to 5 times every 2 to 3 hours.

(Procedure 2 / discrimination process)
Following the procedure 1, it is determined whether or not the rubber tree is affected based on the measured temperature of the leaves of the rubber tree obtained in the procedure 1 / measurement step.
Specifically, if the measured temperature is lower than a predetermined temperature, it is determined that the patient is not afflicted, and if the measured temperature is equal to or higher than the predetermined temperature, it is determined that the patient is afflicted. In the experiment, the predetermined temperature is set to 28 ° C. That is, if 28 ° C is set as a threshold value (predetermined value), a diseased tree and a healthy tree can be accurately distinguished.

  As described above, when the procedure 1 / measurement step is measured 3 to 5 times every 2 to 3 hours, the average of all measured temperatures obtained by measuring 3 to 5 times every 2 to 3 hours. The value is used to determine whether or not the patient is afflicted.

  The inventor of the present application discovered a tendency that the surface temperature of a leaf becomes higher than a healthy state when the diseased tree is observed with an infrared camera, and devised a disease diagnosis method according to an embodiment of the present invention.

  Hereinafter, the disease diagnosis method according to the embodiment of the present invention will be described using specific examples. FIG. 1A shows a plurality of rubber trees to be diagnosed. In FIG. 1A, rubber tree A is a healthy tree and rubber tree B is a diseased tree.

  FIG. 1B is a thermographic image obtained by imaging the range shown in FIG. 1A with an infrared camera. In practice, a thermographic image expressed in a predetermined color for each temperature (range) is obtained. In FIG. 1B, for convenience of explanation, the temperature is determined from the particle size (density) of the dod instead of the color. Is expressed. Specifically, as shown in the lower part of FIG. 1 (b), in the range from the low temperature side (20 ° C.) to the high temperature side (33 ° C.), the higher the temperature, the finer the grain size (ie, darker). doing. As shown in FIGS. 1A and 1B, the imaging area of the leaves of the healthy tree A is approximately 28 ° C. (predetermined temperature) or less, but most of the imaging areas of the leaves of the diseased tree B are 28 ° C. (Predetermined temperature) or higher. That is, the diagnostician can determine whether the tree is a healthy tree or a diseased tree based on the presence / absence and the amount (size of the range) of a 28 ° C. (predetermined temperature) region on the thermographic image.

  In FIG. 1 (a), the appearance of the diseased tree B is different from the appearance of the healthy tree A, but an example in which the appearance is different is given for convenience of explanation. In fact, many diseased trees cannot be distinguished from healthy trees by appearance. According to the disease diagnosis method according to the embodiment of the present invention, since infrared light (infrared light) that is invisible light is used, a diseased tree and a healthy tree that cannot be distinguished visually can be distinguished with high accuracy.

  As described above, according to the disease diagnosis method according to the embodiment of the present invention, it is possible to easily and accurately distinguish between a diseased tree and a healthy tree without requiring experience or skill.

  The disease diagnosis method according to the embodiment of the present invention may be realized using an information processing apparatus (for example, a personal computer, not shown). For example, an image captured by an infrared camera (thermographic image) is input, and the pixel value (measured temperature) of a leaf region in the captured image is compared with a threshold (predetermined temperature). The determination result may be displayed on the display screen.

A ... Healthy tree (non-infected tree) B ... Affected tree (infected tree)

Claims (5)

A measuring process for measuring the surface temperature of the leaf of Para rubber tree;
A disease diagnosis method, comprising: a determination step of determining whether or not the para rubber tree is diseased based on the measurement temperature obtained by the measurement step. The discrimination step includes
If the measurement temperature obtained by the measurement step is less than a predetermined temperature, it is determined that the para rubber tree is not afflicted, and if it is equal to or higher than the predetermined temperature, it is determined that the para rubber tree is afflicted. The disease diagnosis method according to claim 1.   The disease diagnosing method according to claim 2, wherein the predetermined temperature is approximately 28 ° C. The measurement step includes
The disease diagnosis method according to any one of claims 1 to 3, wherein the disease diagnosis method is performed on a cloudy day. The measurement step includes
Measuring the surface temperature 3 to 5 times every 2 to 3 hours,
The discrimination step includes
The average value obtained by measuring the surface temperature every 3 to 5 times every 2 to 3 hours is used to determine whether or not the para rubber tree is afflicted. 5. The disease diagnosis method according to any one of 4 above.