Home /Research /An Improved Agriculture Plant Disease Detection and Monitoring Using IOT
OTHER

An Improved Agriculture Plant Disease Detection and Monitoring Using IOT

K. Janani, S. Gobhinath, T Dharanika

Year
2022
Citations
2

Abstract

This project will investigate the development and testing of a robot capable of spraying pesticides, fertilisers, and water for agricultural lands. Precision spraying operations and perfect operation logging were made possible by the robot system. Based on the precise actions and records, optimal chemical management could be projected, with the required amount of chemicals sprayed only when necessary, and this robot may contribute to the lowest input maximum output production system by building a traceability system in production. The robot module is designed to spray pesticides, hydrate plants, and supply nutrients. The introduction of the Agrobots would result in the abolition of annual labour. In this context, a demonstration model of such equipment capable of carrying out the approach effectively may be provided. Work hours and expenditures would be decreased as a result of the production of these Agrobots. It captivates people's interest in agriculture now and in the future, because implementing an embedded automation project in agriculture has a significant influence.

Keywords

TraceabilityAgricultureContext (archaeology)RobotAutomationProduction (economics)Work (physics)Computer scienceAgricultural engineeringAgricultural productivity

Related papers

Browse all OTHER papers