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.
Identification of Fenugreek vegetable disease using IoT-based Color Sensor
Authors
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.