Computer Vision in Smart Agriculture and Crop Management

5Vision-Based Image Classification and Image Segmentation Algorithms for Plant Disease Diagnostics

N. Ashokkumar^1*, A. Manikandan², S. Hariprasath³ and P. Vijayalakshmi⁴

¹Department of ECE, Mohan Babu (MBU) University, Tirupathi, India

²ECE, SRM Institute of Science and Technology (Deemed to be University), Kattankulathur, Chennai, India

³ECE, Saranathan College of Engineering, Trichy, India

⁴CSE, Knowledge Institute of Technology, Salem, India

Abstract

One of the main sources of income is agriculture. Many peasants in developing nations like India find work in agriculture. Many crops are grown in India’s agriculture, which provides a living for about 70% of the country’s people, according to a study. Indian farmers primarily employ manual planting due to outdated technologies. What crops will grow on a farmer’s property is unknown. Exotic plant diseases that harm plants through their leaves have an impact on agricultural productivity and decrease in profitability. Moreover, it lowers the level and quality of agricultural output. For accelerated plant development and increased agricultural yields, leaves are crucial. Farmers and academics have had trouble detecting illnesses on plant leaves. Nowadays, farmers apply pesticides on plants that may have a negative impact on human health and economy. These plant diseases need to be found quickly, using a variety of ways. A variety of plant diseases are covered in this article, as well as cutting-edge methods for finding them.