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Image Processing Based Pest Detection and Location Sharing to Farmers

Publication Type : Conference Proceedings

Source : 4th International Conference for Emerging Technology (INCET), Belgaum, India, 2023, pp. 1-7, doi: 10.1109/INCET57972.2023.10170109.

Url : https://ieeexplore.ieee.org/document/10170109

Campus : Bengaluru

School : School of Engineering

Department : Electrical and Electronics

Year : 2023

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.

Cite this Research Publication : N. K. Reddy, D. K, L. S and T. Özer, "Image Processing Based Pest Detection and Location Sharing to Farmers," 4th International Conference for Emerging Technology (INCET), Belgaum, India, 2023, pp. 1-7, doi: 10.1109/INCET57972.2023.10170109.

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