Year: 2025
Type: article
Abstract: Employment of efficient water management is a very critical component of modern agriculture, particularly in regions evidencing acute water scarcity and unpredictable climatic conditions. Traditional methods of irrigation result in the wastage of water, with nearly unachievable crop yields due to the lack of preciseness in water application. This paper, therefore, presents the design and development of a Smart Agriculture Irrigation. It automatically perceives the soil moisture, weather conditions, and crop water requirements for the scheduling and control of irrigation accordingly. Applying water in amounts and at times correct for a specific need, the system minimizes water usage while maintaining optimum soil moisture for crop growth. Experimental results have indicated significant improvements in water efficiency and crop productivity compared to conventional methods of irrigation. The paper acts like a stepping stone toward the use of smart irrigation systems in sustainable agriculture, conservation of water resources, and better efficiency in agricultural output. Further work may consider scaling up this system to larger agricultural scales and integrating other environmental factors to enhance accuracy in water management.
Authors: Shiwali Yadav, Pawan Kumar, Aman Kumar Mishra, Monika Tiwari, Utkarsh Kumar, Gursahib Singh
Institution: Chandigarh University
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4409206102