Identification of Banana Leaf Diseases By Using Image Filtering Algorithm

Abstract

For thousands of years, agriculture, the foundation of civilization, has kept people alive. From simple origins, it has developed into a sophisticated science that is always looking for new and creative ways to overcome obstacles and maximize production. One such frontier is the rapidly developing field of plant leaf disease detection, which is transforming the way we keep an eye on and control the health of plants. Feeding the world's expanding population is fraught with challenges, ranging from pests and diseases to climate change.
Plant health is essential to guaranteeing abundant harvests in the delicate dance of agriculture. Conventional disease detection techniques, which frequently include manual scouting, can be tedious, time-consuming, and prone to human mistake. Image processing comes into play here, providing a revolutionary method for precise and early disease detection for the plants.