Detecting and Classifying Various Diseases in Plants Rashmi Deshpande and Hemant Patidar Abstract In today’s era where production of crops is increasing day-by-day, it is also seen that harmful disease is also growing increasingly. Some of the disease being unidentifiable is causing more harm to the production of crops. Such harm not only causes harms crops but also farmers economical income is affected. To overcome all these problems, we are providing an overall solution in which all the problems related to farming which are faced by farmer. In the proposed system, it will identify the leaf disease harming crop and providing solution along with precautions to be taken. The system will not be limited to a particular crop leaf rather than it will detect leaf disease of all crops. The system will also recommend farmer quantity of pesticides to be used for crops. It will help to increase the production of crops decreasing their economic loss. 1 Introduction Nowadays, a new idea of smart farming has been applied where field conditions are controlled and tracked using the self-operating systems. The disease’s self- recognition is focused on recognizing the signs of illness. So that knowledge about the incidence of the disease could be given to the farmers quickly and accurately. It helps in reducing monitoring of huge fields by farmers. The disease may vary from crop to crop which includes change in shape, size, color, or texture. The emer- gence of the disease on the plant will develop in substantial loss agricultural product. Awareness for disease of leaf is essential for decision-making in crop situations and decision-making regarding disease managing. A plant disease is a situation caused by an infectious agent or factor to the ecosystem. Fungi, bacteria, and viruses are among the species that can cause this disease. Parasites such as insects and mites can also be found eating the plant tissues resulting in diseased sections. R. Deshpande (B ) · H. Patidar Oriental University, Indore, India © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 S. C. Satapathy et al. (eds.), Smart Computing Techniques and Applications, Smart Innovation, Systems and Technologies 224, https://doi.org/10.1007/978-981-16-1502-3_78 781