MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641081793 A) filed by Sathyabama Institute Of Science And Technology on July 02, 2026, for An Intelligent Automated Fruit Harvest Monitoring And Predictive Management System Using Artificial Intelligence And Iot.
Inventors include Ms. Aishwarya D; Dr. A. Mohana Priya; Ms. T. Bhanu Shree; Ms P. Nandhini; and Ms. Devi. D.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: ABSTRACT Fruit cultivation plays a vital role in meeting the growing demand for nutritious and high-quality agricultural produce. However, conventional fruit farming practices rely heavily on manual labor, periodic field inspections, and traditional crop management techniques, which often result in labor shortages, operational inefficiencies, delayed interventions, and vulnerability to environmental changes. The increasing need fr sustainable agriculture and precision farming has created a demand for intelligent systems capable of continuously monitoring crop conditions and supporting timely decision-making. This invention presents an Intelligent Automated Fruit Harvest Monitoring and Predictive Management System Using Artificial Intelligence (AI) and the Internet of Things (IoT). The proposed system integrates drone technology, IoT communication, cloud computing, and AI-driven analytics to automate fruit orchard monitoring and management. A drone equipped with multiple sensors, including Infrared (IR) sensors, acoustic sensors, temperature and humidity sensors, low-power imaging cameras, thermal sensors, fluorescence sensors, and TCS3200 color sensors, captures real-time crop and environmental data from the orchard. The collected data is transmitted through IoT-enabled wireless communication modules to a cloud platform, where it is stored and analyzed. AI algorithms process the sensor data and images to monitor crop growth, assess fruit maturity, detect diseases and pest infestations, predict optimal harvest periods, estimate yield, and generate recommendations for crop management. Farmers can access real-time information and alerts through mobile devices, enabling timely interventions and informed decision-making. The proposed system enhances monitoring accuracy, reduces labor dependency, optimizes water and resource utilization, supports early disease and pest detection, and improves fruit quality and yield consistency. By integrating AI, IoT, and drone-based sensing technologies, the invention provides an efficient and scalable solution for precision agriculture and sustainable fruit production.
Disclaimer: Curated by HT Syndication.
