Intellectual Property India Publishes Patent Application for 'Yolov7 Based Vegetable Monitoring And Pesticide Control System' Filed by Dr. Padmashree. A; Dr. Sasikala D; Chandru KS; Sathish S; Saranya N; Esakki Madura E; Sujith A; Nehaa Shree S A; Nivishna Shree S A; and Poorani S D

MUMBAI, India, Sept. 5 -- Intellectual Property India has published a patent application (202441015743 A) filed by Dr. Padmashree. A; Dr. Sasikala D; Chandru KS; Sathish S; Saranya N; Esakki Madura E; Sujith A; Nehaa Shree S A; Nivishna Shree S A; and Poorani S D, Sathyamangalam, Tamil Nadu, on March 4, 2024, for 'yolov7 based vegetable monitoring and pesticide control system.'

Inventor(s) include Dr. Padmashree. A; Dr. Sasikala D; Chandru KS; Sathish S; Saranya N; Esakki Madura E; Sujith A; Nehaa Shree S A; Nivishna Shree S A; and Poorani S D.

The application for the patent was published on Sept. 5, under issue no. 36/2025.

According to the abstract released by the Intellectual Property India: "The invention is a system than uses the YOLO V7 algorithm to detect and control pests in vegetable crops. A camera, a computer, and a pesticide sprayer are all part of the system. The camera takes pictures ofthe vegetables, which are subsequently uploaded to the computer. To locate bugs in the photos, the computer use the YOLO V7 algorithm. In the event that pass are discovered, the computer sends a signal to the pesticide sprayer, which sprays pesticides on the bugs. The YOLO V7 deep learning method is well-known for its accuracy in recognizing objects in photos. The program is trained on a damsel of insect and vegetable photos. The algorithm can detect pests and identify the type of pest in real time. The technology can be used to monitor vegetable health and spot pcsls curly. Pests can also be controlled with the technique by spraying chemicals on them. The technique has the potential to reduce pesticide use while also improving produce quality Vegetable growers are expected to utilize the technology to monitor and control pests on their crops. Agricultural researchers are also anticipated to use the technology (test the efficacy of various pest management approaches. The technique significantly outperforms current pest control approaches. It is more precise, efficient, and ecofriendly than older approaches. The device has the potential to completely transform 1 pest control in vegetable fields."

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