Identification of Fenugreek vegetable disease using IoT-based Color Sensor

Authors

Mr. Dipak Chavan, Department of Computer Science and IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India.
Dr. Ramesh Manza, Professor and Head,
Computer Science and IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India.
Dr. Shobha Bawiskar, Assistant Professor,
Govt. Institute of Forensic Science, Affiliated to Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India.

Abstract

The agriculture industry plays a crucial role in ensuring food security and sustaining global economies. However, fenugreek plant diseases pose a significant threat to vegetable income and quality, leading to substantial economic losses. Early detection and timely management of these diseases are critical for effective vegetable protection and improved farming practices. This fenugreek plant disease detection uses a TCS3200 color sensor to control the disease in its early stages for allowing the identification and differentiation of healthy and diseased fenugreek vegetable plants. Using IoT TCS3200 color sensor with Arduino UNO code to detect the color of fenugreek plant and shows the plant is disease or healthy. The TCS3200 color sensor-based fenugreek plant disease detection system offers several advantages over traditional manual inspection methods. It provides a non-invasive, rapid, and accurate means of detecting diseases before visible symptoms are visible. This enables farmers to take proactive measures, such as targeted treatments or timely removal of infected plants, to prevent further spread and minimize vegetable losses.