Image Processing Based Pest Detection and Location Sharing to Farmers

Abstract

Present days robotic applications along with image processing techniques are extensively used in agriculture sector to determine the fruit ripeness and pest control. The use of Ariel vehicles or waterways for pest control methods frequently results in air and water pollution. This paper discusses reducing the spraying of pesticides to the whole yield by deploying a line follower robot with image processing capability to check the fruit infected by the pest and share the location of the infected plant. Making the yield grow with fewer chemicals there by helping farmers cut the pesticide cost and increasing the fruit cost and stopping agriculture pollution at least to the some extinct.