Sustainable Farming: Sensor-Driven Irrigation and Pest Control
The primary objective of the project is to assist farmers in selecting crops that are best suited to their soil conditions, water scarcity and excessive pesticide use are significantly undermining agricultural productivity and sustainability. The system goes beyond just irrigation; it also employs gas, infrared, and leaf wetness sensors to precisely detect and target pest-infested areas. This targeted approach significantly reduces pesticide usage, curbing environmental impact while enhancing pesticide effectiveness. The comprehensive strategy not only ensures accurate irrigation for soil moisture preservation but also drastically minimizes pesticide application. The system's architecture features a central control unit that processes real-time data to optimize water usage and identify early pest infestations, promoting sustainable farming practices and reducing environmental impact. By promoting sustainable farming practices, this approach safeguards crop health, preserves land fertility, and addresses critical environmental concerns. Through real-time monitoring and precise intervention, this project reshapes agricultural practices, mitigating the detrimental impact of water scarcity and excessive pesticide use. By integrating these advanced technologies, the project not only enhances crop yield and quality but also ensures the sustainability of agricultural practices. This balance of innovation and environmental stewardship positions the project as a pioneering effort in modern agriculture, aiming to create a more sustainable and productive future for farming.
Authors
- Titik Sri Harini
- V. Sathya
- S. M.
- R Tinavarshini
Publication Details
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1109/iccct63501.2025.11020492
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00