Innovation

NiGi Organics has been incubated with one of the most prestigious institutions, Indian Institute of Technology (IIT), Kharagpur to work on the adoption of advanced farming technologies, post-harvest techniques, innovation in processing & value-addition of organic products.

• Precision farming through micro-sensors: most farming operations require a keen eye as farmers scan their crops for signs of disease and contamination. At a macro-level, the process is easy, but the eyes can’t spot everything. With the help of modern IoT solutions, as well as AI and mobile computing, farmers can offset the entire process, relying on technology to do the review. Farmers can monitor Individual plants for potential sickness and disease with the help of micro-sensors. Plus, the technology can display stats remotely via a smartphone or similar device, allowing farmers to see instant alerts about what’s happening in their fields, whether it has to do with pests, disease or something else. Many sensors are already in use and available in the current market – from mechanical sensors that measure soil compaction and erosion to real-time devices that can detect pest populations.
• Drone operations and crop monitoring: alongside IoT monitoring—or perhaps in place of it—aerial drones can analyse and monitor crops. Using cameras and sensors embedded inside, the drones gather information about plants down to a single leaf. When fed into a neural network or machine learning solution, all the collected data can provide a detailed image of a farmer’s stock.
• AI-powered pesticide applicators: by combining AI control solutions and IoT sensors, farmers can better protect crops from pests. Spot treatment allows farmers to treat plants individually and keep away potential insects. At the same time, fewer chemicals enter the surrounding environment, including the soil underneath
• Smarter operations through data sharing: AI and neural network solutions can be trained through data ingestion. As a result, technology controlled by AI could see an increase in efficiency over time as the system gets smarter and contextualised. Collectively, experts can use that gathered information to generate predictive models and compare performance statistics to find insights. In the farming world, the data-sharing of thousands of setups and relevant statistics can make for more effective operations across the board. With data sharing, agricultural experts can share and consume a vast amount of knowledge, everything from soil and seed tests to yield-improving maintenance tips.