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Edible mushroom yield estimation method based on unmanned aerial vehicle visible light remote sensing

An edible fungus and visible light technology, which is applied in the agricultural field, can solve the problems of low accuracy, complex topography, difficult to produce statistics of edible fungi, etc., and achieve the effect of improving estimation accuracy and yield estimation efficiency.

Pending Publication Date: 2021-10-26
GUIZHOU NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

The estimation of edible fungi production in the process of large-scale planting is very important for scientific management and the development of the edible fungus industry. The traditional edible fungus production is estimated by the number of acres, which is less accurate. Moreover, Guizhou belongs to karst mountainous areas, and the terrain is very complex. It is difficult to carry out accurate statistics on the output of edible fungi manually

Method used

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  • Edible mushroom yield estimation method based on unmanned aerial vehicle visible light remote sensing
  • Edible mushroom yield estimation method based on unmanned aerial vehicle visible light remote sensing
  • Edible mushroom yield estimation method based on unmanned aerial vehicle visible light remote sensing

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Embodiment

[0042] Embodiment: the method for estimating the output of edible fungi based on the visible light remote sensing of the unmanned aerial vehicle may further comprise the steps:

[0043] 1) Using the DJI Phantom 4Pro UAV aircraft as the UAV platform, it is equipped with a 24mm low-distortion wide-angle camera, a high-precision anti-shake gimbal and a 1-inch CMOS image sensor. High-definition 4K video, 20-megapixel JPG format photos or lossless Raw format photos. In order to obtain high-quality image data, plan automatic routes for UAVs, and set reasonable altitude, heading, and lateral overlap according to the environment. In this example, the karst plateau mountainous area is selected, and the altitude, heading, and lateral overlap of the flight route are set to 150m, 80%, and 70%, respectively, to obtain aerial images.

[0044] 2) Import the acquired UAV aerial images into Pix4D Mapper software, perform image screening, image stitching, image enhancement, reconstruction prep...

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Abstract

The invention discloses an edible mushroom yield estimation method based on unmanned aerial vehicle visible light remote sensing, and the method comprises the steps: obtaining a high-resolution image through employing an unmanned aerial vehicle platform to carry a visible light lens, carrying out the wave band calculation through employing the high-resolution image of R, G and B wave bands, and segmenting a target ground object; and segmenting the edible mushrooms and the removed background value into two different layers by using a segmentation threshold value, obtaining vector patches of the edible mushrooms, and estimating the yield of the edible mushrooms by using area attributes of the patches and single-rod yield data. According to the method, the edible mushrooms can be simply, conveniently and quickly identified and estimated, the accuracy is high, the adaptability is high, the blank of automatic identification and estimation of economic characteristic crops in the karst plateau canyon region is filled, and scientific reference and scientific technical guidance are provided for large-scale planting of the edible mushrooms on the special landform of the karst mountain area.

Description

technical field [0001] The invention relates to a method for estimating the yield of edible fungi, in particular to a method for estimating the yield of edible fungi based on visible light remote sensing of an unmanned aerial vehicle, which belongs to the field of agricultural technology. Background technique [0002] Edible fungi (Edible fungi) is a general term for large edible fungi, such as oyster mushrooms, shiitake mushrooms, fungus, ganoderma, etc. Edible mushrooms are not only delicious and nutritious, but also have high medicinal value. Guizhou is located in the subtropical humid monsoon climate zone. There is no severe cold in winter and no scorching heat in summer. The precipitation is abundant and the rain and heat are in the same season. The ecological environment is suitable for the growth of edible fungi. The main edible and medicinal fungi have been found. There are 22 families, 72 genera and 268 species. 80% are distributed in Guizhou Province, and the main...

Claims

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Application Information

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IPC IPC(8): G06T7/136G06T7/194G06T7/62G06Q10/04G06Q50/02
CPCG06T7/136G06T7/194G06T7/62G06Q10/04G06Q50/02G06T2207/10032G06T2207/30188
Inventor 周忠发胡灵炆彭睿文黄登红朱孟
Owner GUIZHOU NORMAL UNIVERSITY
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