MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641088623 A) filed by Sr University on July 21, 2026, for Predictive Intelligent System In Smart Agriculture Based On Iot And Machine Learning Approaches.
Inventors include Dr. Akella Srjnivasa Rao; and Dr. Sarath Chandra Veerla.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: Abstract of the Invention: Conventional farming practices are proving inadequate in the face ofcompounding pressures — unpredictable rainfall, declining soil fertility, rapid population growth, and escalating food-security obligations. This patent discloses the Predictive Intelligent Smart Agriculture (PISA) framework, a tour-phase architectuie coupling IoT sensor networks with machine learning to transform raw field observations into actionable farm management intelligence. Phase 1 establishes a heterogeneous sensor pipeline. Phase 2 constructs the IoT backbone with edge-caching gateways roc/I:icing cloud bandwidth by approximately 60%. Phase 3 integrates MLdecision logic for real-nine anomaly detection and automated irrigation actuation. Phase 4 applies ensemble and deep learning for crop yield forecasting and environmental risk assessment. Benchmarks demonstrate classification accuracies reaching 98.15%, soil classification Fl scores of 0.97, and yield prediction rates of 8545%, sUbStantially surpassing conventional agronomic methods. Precision input delivery achieves fertilizer and pesticide cost reductions of up to 22%.
Disclaimer: Curated by HT Syndication.
