Drone Assisted Effective Pesticide Sprayer
DOI:
https://doi.org/10.32628/CSEIT206381Keywords:
Drone, Agriculture, machine learning, Python, CNN, YOLO, Object Detection, OpenCV, Computer Vision, Pesticide Sprayer.Abstract
This paper is an intend to consolidate the review and perform literature survey on Drone Assisted Effective Sprayer. In this paper we consider how we use unmanned aerial vehicle (drone) in effective pesticide spraying using algorithms like CNN and YOLO. In India, Agriculture is a major sector of our economy. To increase the gross crop yield and to enhance the potency of the crops, the application of pesticides and fertilizers is crucial. To increase the speed and effectiveness of the spraying process, the use of drones are being introduced in agriculture all around the world. The same pesticide cannot be sprayed over different crops as their requirements differ. In this paper we analyse CNN and YOLO algorithms to find a specific crop and spray pesticide to a specific area of crop field.
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