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A five-factor wheat seedling emergence evaluation method

An evaluation method, wheat technology, applied in image analysis, data processing applications, image enhancement, etc., can solve problems such as low efficiency and incomplete evaluation results, save manpower and material resources, avoid one-sided problems, improve efficiency and readiness Effect

Active Publication Date: 2020-11-27
YANGZHOU UNIV
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Problems solved by technology

[0005] Aiming at the problems of low efficiency and incomplete evaluation results of manual evaluation methods for wheat seedling emergence in the prior art, the present invention provides a five-factor evaluation method for wheat seedling emergence, which uses a high-definition camera equipped with an unmanned aerial vehicle to take images of wheat seedlings to obtain enough wheat seedlings. Comprehensively evaluate the emergence of seedlings based on the five factors of seedling degree, uniformity, cultivated land utilization rate, peak degree and extreme value degree

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  • A five-factor wheat seedling emergence evaluation method

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Embodiment Construction

[0044] The five-factor wheat emergence evaluation method of this embodiment is specifically completed through the following steps.

[0045] A. Image acquisition: The image acquisition control software through the drone is DJI GS Pro, which uses the drone equipped with a high-definition camera, and the remote control drone is used to acquire the RGB image of the emergent wheat over the target wheat field; The drone is flying and shooting at an altitude of 8-10 meters vertically above the wheat seedling area, and the repetition rate of adjacent images is 65% to 75%. In this step, the wheat image is usually obtained when the wheat is in the 1-4 leaf stage. , That is, the leaf age of wheat LeafA is 1-4 leaf age, which is mainly determined by manual investigation.

[0046] The image stitching software Agisoft PhotoScan is used to stitch the above-mentioned captured images according to the ground control points to obtain the overall image of the entire cultivated land.

[0047] The stitch...

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Abstract

The present invention relates to a method for evaluating wheat seedling emergence in the technical field of a five-factor wheat seedling evaluation method. The method of the present invention obtains images of wheat seedlings emerging from the field by means of unmanned aerial vehicle image processing technology, and obtains wheat seedlings by image processing and calculation. Seedling degree, uniformity, cultivated land utilization rate, peak degree and extreme value degree, and further get the score of emergence situation, and at the same time, use the radar five-line diagram to comprehensively evaluate the emergence situation, compared with the traditional The artificial statistical method saves a lot of manpower and material resources, avoids the one-sidedness of the survey results caused by human factors, and improves the efficiency and preparation of field surveys.

Description

Technical field [0001] The invention relates to the technical field of methods for evaluating the emergence of wheat, in particular to a fast, novel, practical and intuitive method for intelligently evaluating the emergence of wheat. Background technique [0002] The emergence of wheat seedlings is an important indicator that reflects the quality of wheat sowing, soil preparation and seed vigor, laying the foundation for the construction of the best canopy structure. There are many factors affecting the uniformity of seedling emergence, including target seedling number, uniformity, seedling shortage rate, peak degree (proportion of the area with a deviation of more than 25% from the target seedling number), and extreme degree (the deviation from the target seedling number is 50%). % And above) can best reflect the emergence of seedlings. The emergence of seedlings will affect the later growth and development of the wheat population and ultimately affect the yield. Due to the abo...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/194G06T7/62G06T7/90G06Q50/02G06T3/40
CPCG06Q50/02G06T3/4038G06T7/0002G06T7/11G06T7/136G06T7/194G06T7/62G06T7/90G06T2207/10004G06T2207/30188
Inventor 刘涛杨天乐李福建周凯丁锦峰李春燕孙成明朱新开郭文善
Owner YANGZHOU UNIV