Key technology of crop precision sowing based on vision principle

Abstract

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

Research Progress Regarding the Precision of Dosing and Distribution Devices for Fertilizers

“…The precise dosing and distribution of the fertilizer by fertilizer dischargers are the keys to precise fertilization. In order to achieve precise fertilization, the requirements for the performance of fertilizer dischargers are increasing [4]. In addition to achieving high accuracy, stability, and uniformity of fertilizer distribution, it is also necessary to ensure that they can flexibly and precisely adjust the dosing of the fertilizer so that it can be applied to more crops and will not be affected by external factors such as working conditions and terrain when performing fertilization tasks [5,6].…”