PESTO-BOT
Year: 2025
Type: article
Abstract: Agriculture is the backbone of our country. Digital technologies are being used to improve and increase the production of the crops. This proposes to use of Robot in the agricultural sector. The robot can be controlled autonomously. Farmers are reaching out to agricultural robot to help mitigate the problems of pest control and increase the yield of crops. The aim of this project is to create an autonomous spraying robot that will decrease pest and minimize the usage of pesticides and decreases human health Impact, allowing farmers to be protected and labour intensity can be reduced. The bot will be trained for route planning, navigation systems, spraying mechanism and obstacle avoidance with multi-sensor module integration. First the robot detects the pest using thermal camera and the algorithm of Image processing is applied in which the images of the leaves affected by pests is captured by using a digital camera. The leaves with pest images are processed for getting a grey-coloured image and then using feature extraction, image of the pest is detected. Once the pest is confirmed the nozzle gets activated and it sprays pesticides only to the particular area where the pest is present. The CAD model of the Bot is designed using FUSION 360. Belt drive mechanism is designed for the movement of the Bot. There is a robotic arm which consists of a sprayer and a tank is present to store the pesticides and there is a light pole which tell us the location of the bot.
Authors: Charukesh P.N., Ashritha A. Shetty, Lekhana Satheesha, Ashmith
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W6949948116
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