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


Authors:Sarthak Khatri, Sakshi Gupta, Sanvi Nahar, Rajni Kumawat, Vandana Kate, ThakurPal Rajput


Published in: Volume 3 Issue 1 Jan June 2026, Page No.383-387


Keywords:Precision Agriculture, Plant Electro physiology, Bio-potential Sensing ,AI-Driven Irriga tion, Smart Agriculture, Bio-signal Processing, IoT Based Farming, Sustainable Agriculture


Abstract:This research presents a groundbreak ing approach to precision agriculture through the development of an Emotion-Responsive Farming Sys tem (ERFS) — a framework where plants effec tively “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 self regulating 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 archi tecture, 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.


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