KRISHI SAKHI: AN AI-POWERED PERSONALIZED FARMING ASSISTANT FOR SMART AND SUSTAINABLE AGRICULTURE

Agriculture plays a crucial role in the Indian economy, especially in states like Kerala where smallholder farmers form the majority.However, these farmers face several challenges such as fragmented landholdings, unpredictable weather conditions, pest outbreaks, lack of digital record-keeping, and limited access to personalized agricultural guidance.Most existing agricultural advisory systems provide generalized recommendations that do not consider local soil conditions, crop varieties, and farm-specific practices.This leads to inefficient resource utilization, reduced productivity, and unstable farmer income.To address these challenges, this research proposes Krishi Sakhi, an AI-powered personal farming assistant designed to provide localized, personalized, and real-time agricultural support to farmers.The proposed system integrates Artificial Intelligence, Machine Learning, Natural Language Processing, and cloud-based technologies to deliver contextaware recommendations through a conversational interface in Malayalam using both voice and text.The system creates digital profiles of farmers by collecting information such as land size, soil type, irrigation sources, and cropping patterns.It also enables activity tracking, including sowing, irrigation, fertilizer application, pest attacks, and harvesting.Based on historical data, weather forecasts, and crop-specific knowledge, the AI engine provides personalized advisory, smart alerts, and reminders related to crop management, pest control, and government schemes.The proposed solution aims to enhance productivity, promote sustainable farming, improve decision-making, and strengthen resilience against climate and market uncertainties.By acting as a digital companion throughout the crop lifecycle, Krishi Sakhi bridges the knowledge gap and supports datadriven agriculture for smallholder farmers.