Year: 2025
Type: article
Abstract: Agriculture faces significant challenges due to climate change, resource depletion, and volatile market conditions, threatening global food security. Smart Grow: Machine Learning for Sustainable Agriculture Innovation leverages advanced AI-driven analytics to provide farmers with actionable insights for enhanced productivity and sustainability. The system features a crop recommendation model, analysing soil nutrients and weather conditions for optimal planting decisions. A disease detection tool identifies plant diseases from leaf images and suggests treatments, minimizing crop loss. The yield prediction model forecasts productivity based on resource availability, aiding in efficient farm management. Additionally, market price prediction helps farmers determine the best time to sell their produce. With an interactive map-based soil testing locator, Smart Grow promotes precision farming, merging modern technology with traditional practices to improve sustainability, resource management, and profitability. Keywords— Machine Learning, Precision Farming, Smart Agriculture, Crop Recommendation, Disease Detection, Yield Forecasting, Market Price Prediction, Soil Health Analysis
DOI: 10.55041/ijsrem44598
Authors: P. Vishnu, D. Vishnu Teja, S. Vishnu Teja
Institution: Malla Reddy University
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W4409464907