• SRI. HALESH T G

Abstract- Plant diseases and pests is one kind of natural disasters that affect the normal growth of plants and even cause plant death during the whole growth process of plants from seed development to seedling and to seedling growth. In machine vision tasks, plant diseases and pests tend to be the concepts of human experience rather than a purely mathematical definition. Plant diseases and pests detection is a very important research content in the field of machine vision. It is a technology that uses machine vision equipment to acquire images to judge whether there are diseases and pests in the collected plant images. At present, machine vision-based plant diseases and pests detection equipment has been initially applied in agriculture and has replaced the traditional naked eye identification to some extent. Compared with the definite classification, detection and segmentation tasks in computer vision, the requirements of plant diseases and pests detection is very general. In fact, its requirements can be divided into three different levels: what, where and how. In the first stage, “what” corresponds to the classification task in computer vision. Image recognition is the task of identifying images and categorizing them in one of several predefined distinct classes. So, image recognition software and apps can define what’s depicted in a picture and distinguish one object from another. The methods used in the discovery of pesticide chemicals also have largely been empirical. With little or no prior information on mode of action, chemicals are tested to select those that kill the target insect, fungus, or weed but do not harm the crop plant or the environment.

Deep learning

"PLANT DISEASES AND PETS DETECTION BY DEEP LEARNING DIGITAL IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.d72-d75, July-2022, Available :http://www.jetir.org/papers/JETIR2207308.pdf

"PLANT DISEASES AND PETS DETECTION BY DEEP LEARNING DIGITAL IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppd72-d75, July-2022, Available at : http://www.jetir.org/papers/JETIR2207308.pdf