Method for estimating severity of rice spike rot

Abstract

The invention discloses a rice panicle rot disease severity estimation method. The method comprises the following steps: S1, acquiring digital photos of disease panicle samples with different disease severity in a plurality of growth periods; s2, extracting the disease severity of the disease-susceptible sample based on the digital photo; s3, measuring the length of the rice ear lesion in the digital photo, and comparing the severity of the rice ear lesion so as to estimate the severity of the rice ear rot; s4, diseased ear samples with different disease severity in a plurality of growth periods are actually obtained and correspond to diseased ears in the digital photos; and S5, carrying out chemical experiment verification on the diseased panicle sample to determine the severity of the disease condition, and comparing the severity with an estimation result, so that the severity of the rice panicle rot disease can be estimated more accurately. According to the method, the defect that the severity of the disease condition is determined through a large amount of experimental data in the prior art is overcome, estimation of the severity of the rice spike rot disease is achieved, operation is simpler, time and labor are saved, and the estimation result is more accurate.

Description

Technical Field

[0001] The invention relates to the technical field of ear rot disease estimation, and in particular to a method for estimating the severity of rice ear rot disease. Background Art

[0002] Rice, also known as rice, rice, and rice, is a cereal crop of the genus Oryza in the Poaceae family. The rice stalk is upright, 0.5-1.5 meters high, with loose leaf sheaths, and the bases on both sides extend downward to form the edge of the leaf sheath. The panicle is loose, the spikelets are rectangular, flattened on both sides, and contain 3 florets. The lemma of the bisexual florets is often finely hairy, with or without awns, and 6 stamens. The caryopsis is about 5 mm long and 2 mm wide. It is an important cereal widely grown in tropical Asia. Southern China is the main rice-producing area, and it is planted in all northern provinces.

[0003] Rice ear rot is a fungal disease. Due to changes in climate, farming and cultivation systems, increased fertilizer application, and changes in varieties, it has become a common ear disease in rice growing areas across the country in recent years. When rice is infected with ear rot, it not only affects the yield, but also changes the appearance of the rice grains, reduces the quality of the rice, and has a serious impact on rice production and market prices. The disease can not only occur in the field, but also the bacteria can continue to produce toxins during transportation and storage, and can also cause poisoning in humans and livestock.

[0004] For ear rot, there is a certain correlation between the growth period and the severity of the disease. In view of this, there is currently a lack of a systematic estimation method. In reality, the severity of the disease is determined through a large amount of experimental data, which is time-consuming and labor-intensive. Summary of the invention

[0005] The object of the present invention is to provide a method for estimating the severity of rice ear rot disease to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A method for estimating the severity of rice ear rot disease comprises the following steps:

[0008] S1: Obtain digital photos of diseased ear samples with different disease severity at multiple growth stages;

[0009] S2: Extract disease severity of infected samples based on digital photos;

[0010] S3: Measure the length of lesions on rice ears in digital photos and compare the severity of the disease to estimate the severity of rice ear rot;

[0011] S4: Obtain diseased ear samples with different disease severity at multiple growth stages in real life, and correspond them with the diseased ears in digital photos;

[0012] S5: Conduct chemical experiments on diseased ear samples to determine the severity of the disease, and compare the results with the estimated results to more accurately estimate the severity of rice ear rot.

[0013] As a further solution of the present invention: in S1 and S4, the ratio of the diseased ear samples in the digital photos to the diseased ear samples actually obtained is 1:1, which is convenient for estimating the severity of rice ear rot disease based on the information extracted from the digital photos.

[0014] As a further solution of the present invention: In S2 and S3, the severity of the disease is divided into 1-5 levels:

[0015] Level 1: asymptomatic, healthy;

[0016] Grade 2: Black rot occurs on rice ears, with the rot length less than 1 cm, which is mild;

[0017] Grade 3: Black rot occurs on rice ears, 1≥rot length <2, slightly serious;

[0018] Level 4: Black rot appears on rice ears, 2≥rot length <3, severe;

[0019] Level 5: Black rot appears on rice ears, 3≥rot length, very serious;

[0020] The severity of rice ear rot was estimated by the length of the rice ear that showed black rot in the digital photos.

[0021] As a further solution of the present invention: in S1 and S4, when acquiring digital photos, multiple diseased ear samples are cut from the plant and laid out on a black reference board at a certain interval to be photographed to improve acquisition efficiency, and a one-to-one correspondence is made with the diseased ear samples actually acquired to prevent errors in the estimation of the severity of rice ear rot due to mismatch.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] The present invention obtains digital photos of diseased ear samples with different disease severity at multiple growth stages, extracts the disease severity of diseased samples based on the digital photos, measures the length of lesions on rice ears in the digital photos, and compares the disease severity, thereby estimating the disease severity of rice ear rot, actually obtains diseased ear samples with different disease severity at multiple growth stages, and corresponds them to the diseased ears in the digital photos, performs chemical experimental verification on the diseased ear samples to determine the disease severity, and compares the results with the estimated results, thereby more accurately estimating the disease severity of rice ear rot. The present invention solves the drawback of determining the disease severity through a large amount of experimental data in the prior art, realizes the estimation of the disease severity of rice ear rot, is simpler to operate, saves time and labor, and the estimation result is more accurate, which is conducive to the estimation of the disease severity of rice ear rot. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a process flow chart of the method for estimating the severity of rice ear rot disease. DETAILED DESCRIPTION

[0025] Various exemplary embodiments, features and aspects of the present application will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0026] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.

[0027] In addition, in order to better illustrate the present application, numerous specific details are provided in the specific embodiments below. It should be understood by those skilled in the art that the present application can also be implemented without certain specific details. In some examples, methods, means, and elements well known to those skilled in the art are not described in detail in order to highlight the subject matter of the present application.

[0028] Embodiment 1

[0029] See also Figure 1 A method for estimating the severity of rice ear rot disease comprises the following steps:

[0030] S1: Obtain digital photos of diseased ear samples with different disease severity at multiple growth stages;

[0031] S2: Extract disease severity of infected samples based on digital photos;

[0032] S3: Measure the length of lesions on rice ears in digital photos and compare the severity of the disease to estimate the severity of rice ear rot;

[0033] S4: Obtain diseased ear samples with different disease severity at multiple growth stages in real life, and correspond them with the diseased ears in digital photos;

[0034] S5: Conduct chemical experiments on diseased ear samples to determine the severity of the disease, and compare the results with the estimated results to more accurately estimate the severity of rice ear rot.

[0035] It should be specifically explained that: the present invention obtains digital photos of diseased ear samples with different disease severity at multiple growth stages through the following steps, extracts the disease severity of diseased samples based on the digital photos, measures the length of lesions on rice ears in the digital photos, and compares the disease severity, thereby estimating the disease severity of rice ear rot, actually obtains diseased ear samples with different disease severity at multiple growth stages, and corresponds them to the diseased ears in the digital photos, performs chemical experimental verification on the diseased ear samples to determine the disease severity, and compares the results with the estimated results, thereby more accurately estimating the disease severity of rice ear rot.

[0036] Embodiment 2

[0037] See also Figure 1 A method for estimating the severity of rice ear rot disease comprises the following steps:

[0038] S1: Obtain digital photos of diseased ear samples with different disease severity at multiple growth stages;

[0039] S2: Extract disease severity of infected samples based on digital photos;

[0040] S3: Measure the length of lesions on rice ears in digital photos and compare the severity of the disease to estimate the severity of rice ear rot;

[0041] S4: Obtain diseased ear samples with different disease severity at multiple growth stages in real life, and correspond them with the diseased ears in digital photos;

[0042] S5: Conduct chemical experiments on diseased ear samples to determine the severity of the disease, and compare the results with the estimated results to more accurately estimate the severity of rice ear rot.

[0043] Preferably, in this embodiment, in S1 and S4, the ratio of the diseased ear samples in the digital photos to the diseased ear samples actually obtained is 1:1, which facilitates estimating the severity of rice ear rot disease based on the information extracted from the digital photos.

[0044] Preferably, in this embodiment, in S2 and S3, the severity of the disease is divided into 1-5 levels:

[0045] Level 1: asymptomatic, healthy;

[0046] Grade 2: Black rot occurs on rice ears, with the rot length less than 1 cm, which is mild;

[0047] Grade 3: Black rot occurs on rice ears, 1≥rot length <2, slightly serious;

[0048] Level 4: Black rot appears on rice ears, 2≥rot length <3, severe;

[0049] Level 5: Black rot appears on rice ears, 3≥rot length, very serious;

[0050] The severity of rice ear rot was estimated by the length of the rice ear that showed black rot in the digital photos.

[0051] Preferably, in this embodiment, in S1 and S4, when acquiring digital photos, multiple diseased ear samples are cut from the plant and laid out on a black reference board at a certain interval to be photographed to improve acquisition efficiency, and are matched one-to-one with the diseased ear samples actually acquired to prevent errors in the estimation of the severity of rice ear rot due to mismatch.

[0052] It should be specifically explained that: compared with the first embodiment, this embodiment explains in more detail that in S1 and S4, the ratio of the diseased ear samples in the digital photos to the diseased ear samples actually obtained is 1:1, so as to facilitate the estimation of the severity of the rice ear rot disease according to the information extracted from the digital photos, and when the digital photos are obtained, multiple diseased ear samples are cut from the plants and laid on a black reference board at a certain interval for photographing to improve the acquisition efficiency, and correspond one-to-one with the diseased ear samples actually obtained to prevent the estimation of the severity of the rice ear rot disease from not matching. An error occurred. In S2 and S3, the severity of the disease is divided into 1-5 levels: Level 1 is asymptomatic and healthy; Level 2 is black rot on the rice ears, and the rot length is less than 1 cm, which is mild; Level 3 is black rot on the rice ears, 1≥rot length<2, which is slightly serious; Level 4 is black rot on the rice ears, 2≥rot length<3, which is serious; Level 5 is black rot on the rice ears, 3≥rot length, which is very serious; The severity of rice ear rot is estimated by the length of the black rot on the rice ears in the digital photos, so as to more accurately estimate the severity of rice ear rot.

[0053] It should be particularly noted that: the present invention obtains digital photos of diseased ear samples with different disease severity in multiple growth periods through the following steps, extracts the disease severity of the diseased samples based on the digital photos, measures the length of the rice ears with lesions in the digital photos, and compares the disease severity, thereby estimating the disease severity of rice ear rot, actually obtains diseased ear samples with different disease severity in multiple growth periods, and corresponds them to the diseased ears in the digital photos, performs chemical experimental verification on the diseased ear samples to determine the disease severity, and compares the results with the estimated results, thereby more accurately estimating the disease severity of rice ear rot. The present invention solves the problem of determining the disease severity through a large amount of experimental data in the prior art, realizes the estimation of the disease severity of rice ear rot, is simpler to operate, saves time and effort, and the estimation result is more accurate, which is conducive to the estimation of the disease severity of rice ear rot.

[0054] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the present invention can be implemented in other specific forms without departing from the spirit or essential features of the present invention. Therefore, the embodiments should be considered exemplary and non-restrictive in all respects, and the scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims be included in the present invention.

[0055] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A method for estimating the severity of rice ear rot disease, It is characterized in that The following steps are involved: S1: Obtain digital photos of diseased ear samples with different disease severity at multiple growth stages; S2: Extract disease severity of infected samples based on digital photos; S3: Measure the length of lesions on rice ears in digital photos and compare the severity of the disease to estimate the severity of rice ear rot; S4: Obtain diseased ear samples with different disease severity at multiple growth stages in real life, and correspond them with the diseased ears in digital photos; S5: Conduct chemical experiments on diseased ear samples to determine the severity of the disease, and compare the results with the estimated results to more accurately estimate the severity of rice ear rot.

2. The method for estimating the severity of rice ear rot according to claim 1, It is characterized in that In S1 and S4, the ratio of diseased ear samples in digital photos to diseased ear samples actually obtained is 1:1, which makes it easy to estimate the severity of rice ear rot based on the information extracted from digital photos.

3. The method for estimating the severity of rice ear rot according to claim 1, It is characterized in that In S2 and S3, the severity of the disease is graded from 1 to 5: Level 1: asymptomatic, healthy; Grade 2: Black rot occurs on rice ears, with the rot length less than 1 cm, which is mild; Grade 3: Black rot occurs on rice ears, 1≥rot length <2, slightly serious; Level 4: Black rot appears on rice ears, 2≥rot length <3, severe; Level 5: Black rot appears on rice ears, 3≥rot length, very serious; The severity of rice ear rot was estimated by the length of the rice ear that showed black rot in the digital photos.

4. The method for estimating the severity of rice ear rot according to claim 1, It is characterized in that In S1 and S4, when acquiring digital photos, multiple diseased ear samples were cut from the plants and laid out on a black reference board at a certain interval to be photographed to improve acquisition efficiency, and they were matched one by one with the diseased ear samples actually acquired to prevent errors in the estimation of the severity of rice ear rot due to mismatch.

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