https://doi.org/10.4081/jae.2022.1453

Key technology of crop precision sowing based on the vision principle

Vol. 54 No. 1 (2023)
Published: 25 August 2022
machine vision algorithm, visual principle, crop growth, precision seeding, uniformity of fertilisation
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Authors

Bing Li
libing11313@163.com
College of Modern Information Technology, Henan Polytechnic, Zhengzhou, China.
Jiyun Li
College of Modern Information Technology, Henan Polytechnic, Zhengzhou, China.

The growth of crops is seriously affected in the process of precision planting of crops due to many external environmental interference factors, low precision of sowing technology, and large significant relative errors. To solve this problem, machine vision technology is introduced to study the key technology of crop precision sowing based on the vision principle. After pre-processing the crop image, the corresponding histogram is established. Then, the segmentation threshold method is used to gray the image and determine the best threshold to have a good recognition effect. Finally, according to the growth height and colour analysis of crops in the image, predict the growth of crops and realise the precision sowing of crops. The comparative experimental results show that under the application of the new sowing technology, the estimation accuracy of the crop planting area is high, the recognition accuracy of planting position is also high, and the fertilisation uniformity is close to the actual data, which can provide an important basis for improving the quality of crop sowing.

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How to Cite

Li, B. and Li, J. (2022) “Key technology of crop precision sowing based on the vision principle”, Journal of Agricultural Engineering, 54(1). doi: 10.4081/jae.2022.1453.
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