• Rameshwar S. Devhade
• Ranjana D. Raut

In our country, Agriculturesector is playing important role due to population growth and increased demand for food. Agriculture sector provides food to all the human beings even in case of rapid increase in the population. Detection of crops disease is a one of the important and tedious tasks in agricultural sector. It requires huge time as well as skilled labour. But it unfortunate to predict the diseases at the early stage of the crops. Crops diseases are one of source of embarrassment. In the quality and productivity of crops which can lead to the shortage of food supply. Therefore, crops disease classification and detection are essential to the agriculture sector. In the field of agriculture, it is recommended to predict the crops diseases at their early stage. The disease in crops can be detected and treated at an early stage. One of these important effects on low crop yields is diseases caused by bacteria, fungi and viruses. So, machine learning and deep learning techniques could play a pivotal role in detecting and classifying the crops diseases at an early stage. This research article proposes a smart and efficient technique for detection and classification of crop diseases which uses computer vision and machine learning techniques. In this article, the authors addressed and evaluated the various currently existing states of art methods and techniques based on machine and deep learning. In this survey it observed that Convolution Neural Network gives high accuracy and detects a greater number of diseases of multiple crops.

Agriculture, Crops Diseases, Detection, Classification, Machine Learning.

"A Systematic Review on Artificial Intelligence Based Detection and Classification Technique of Major Crops Diseases ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.a142-a150, November-2023, Available :http://www.jetir.org/papers/JETIR2311023.pdf

"A Systematic Review on Artificial Intelligence Based Detection and Classification Technique of Major Crops Diseases ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppa142-a150, November-2023, Available at : http://www.jetir.org/papers/JETIR2311023.pdf