Detection of Weeds in Cotton Farms Using Mobile Net-Single Shot Detector

Abstract

Rajasenbagam T and Hari Krishnan G

In recent years, the automated weed control systems used for prevent the growing weeds from main plant in order to improve the productivity. The researchers put on more efforts to identify the location and amount of the weed area in the land by the automated manner. Deep learning provides the way of finding the location of the object by using of object detection algorithms. In this research focus on the identification of the weeds in the cotton fields by drawing bounding boxes using MobileNet-Single Shot Detector object detection algorithm. From the obtained results it has shown as 70.1% Average Precision(AP) for detection on weeds.

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