Smart Agro: AI-Driven Soil and Climate Adaptive Farming
Year: 2025
Type: article
Abstract: Climate change and unpredictable weather conditions pose significant challenges to farmers, affecting crop yields and water management. The proposed system is an AI-driven soil and climateadaptive farming system that integrates AI-based weatherprediction, IoT soil monitoring, automated irrigation, and alternative communication methods to support farmers, includingthose without smart phones or internet access. The system utilizes AI models to analyze historical and real time weather data, providing farmers with optimal planting schedules, irrigation strategies, and risk alerts. IoT sensors continuously monitor soil moisture, pH levels, and nutrient content, while color-coded LED indicators in fields display real-time farming conditions—green for optimal, yellow for moderate risk, and red for high risk. A smart irrigation system automates water supply adjustments based on AI insights, reducing water wastage and improving efficiency. For communication, the system sends automated voice call alerts, broadcasts updates via local radio stations, and displays real-time farming insights on solar-powered digital boards in villages. The proposed system increases crop yield by enabling data-driven decisions, conserves water through automated irrigation, bridges the technology gap for farmers without smart phones, and enhances disaster preparedness by delivering early warnings for droughts and floods. The integration of smart village hubs makes the system scalable, transparent, and adaptable for diverse agricultural regions worldwide, ensuring sustainable farming and climate resilience.
Authors: V Nikitha, C Nivetha, J Shalini, R M Shivani, E Shapna Rani
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W6949774913
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