MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202521008619 A) filed by Datta Sampatrao Chavan on February 03, 2025, for Solar Greenhouse Food Dryer Equipped With Artificial Intelligence For Agricultural Sector.
Inventors include Datta Sampatrao Chavan; Sachin Pandurang Jadhav; Sandeep Chinke; Pranoti Vaidya; Samriddh Sahu; Nikhil Kamble; Shiwani S Bobade; Shashank Saindanvise; Swaroopa Bhosale; and Anita Patil.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: ABSTRACT In this invention solar greenhouse dryer is developed. Moist of the time there is excess production of particular food like onion. The rates of the crops are collapsed. To tackle this situation solar dryer is better solution. Losses due to bad weather are also recovered using solar greenhouse dryer. Food is dried using dehydration using sun light. The solar dryer greenhouse is made of translucent material Dryer is made up of multiwall polycarbonate material. The sun rays penetrate the and heat the food. The temperature inside the dryer reaches up to 60 degrees. It is around 15 to 20 degrees Celsius higher than the outside due to this the drying time of the food is reduced to also most half than the natural drying. The food is also protected from the dust and dirt particles from the atmosphere. The outer shell filters ultraviolet rays the system is also powered by solar panels. The fan which circulates the air inside the solar dryer green house is powered by solar panels. The food dried is then packaged in the airtight packets. And send to the market. The solar greenhouse dryer is equipped with artificial intelligence. It offers a sustainable and energy efficient solution to agricultural food drying. It is equipped with intelligent control system. It is used in drying process for fruits, vegetables, herbs, and other food items. The system is equipped with various sensors that monitor key parameters such as temperature, humidity, moisture content, and sunlight intensity in real-time. AI algorithms analyse this data to dynamically adjust airflow, drying time, and supplementary heating, ensuring uniform drying and preventing spoilage or over drying. The AI system uses predictive models to optimize drying cycles based on food type, environmental conditions, and historical performance, improving drying efficiency and reducing energy waste. Additionally, the system incorporates Internet of Things (IoT) connectivity for remote monitoring and control, allowing users to receive alerts and manage the process via a mobile application. By combining solar energy with AI-based optimization, this system provides an eco-friendly, cost-effective, and scalable solution for both small-scale and large-scale food preservation applications, contributing to food security, energy conservation, and sustainability.
Disclaimer: Curated by HT Syndication.
