Disease Detection of Various Plant Leaf Using Image Processing Technique

• Published in: 2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM) pp. 1 - 5
• Main Authors: A., Jose Anand, S., Sandhiya, A., Sweety Sharon, R., Vinisha
• Format: Conference Proceeding
• Language: English
• Published: IEEE 06-04-2023
• Subjects: Crops; Disease Detection Method; Image Processing Technique; Manuals; Plants (biology); Production; Sociology; Switches; Training
• DOI: 10.1109/ICONSTEM56934.2023.10142431

One of the main sources of income is agriculture. In developing nations like India, agriculture offers a sizable number of job prospects for villagers. Numerous crops are grown in India, where agriculture supports about 70% of the country's population, according to a poll. Due to inadequate technical understanding, the majority of Indian farmers are switching to manual cultivation. The types of crops that do well on a farmer's property are unknown. When plants indenture various infections conclude their leaves, it will diminish agricultural yield and upshot in a monetary forfeiture. Agricultural production has diminished in both magnitude and excellence as well. For plants to cultivate rapidly and to boost crop output, leaves are decisive. Farmers and researchers alike struggle to find illnesses in plant leaves. At the moment, farmers spray pesticides on the plants, but this has an impact on humans either directly or indirectly in terms of health or even economics. There are plentiful swift methods that are cast off to perceive these plant infections. To identify the illnesses that are present in plant leaves, we have employed image processing techniques in this research.