Emotion-Responsive Farming Systems: Plants Communicating Stress Signals to AI Irrigation Networks

This research presents a groundbreaking approach to precision agriculture through the development of an Emotion-Responsive Farming System (ERFS) -a framework where plants effectively "communicate" their stress to an AI-driven irrigation network.By combining principles of plant electrophysiology, bio-potential sensing, and machine learning, the system interprets subtle electrical and chemical signals generated by plants under stress conditions such as drought, nutrient imbalance, or disease.These decoded signals enable the AI to make intelligent, real-time adjustments to irrigation and nutrient delivery, forming a responsive and selfregulating ecosystem that mirrors the emotional state of the plant.The proposed ERFS not only enhances water and nutrient efficiency but also strengthens crop resilience and supports sustainable farming practices in the face of climate variability.This paper outlines the conceptual framework, intelligent system architecture, and a potential implementation roadmap that together bridge the gap between plant neurobiology and artificial intelligence, paving the way toward more empathetic, data-driven, and sustainable agriculture.