• Akhyar Ahmed Kathawala
• Ankit Chauhan
• Ashutosh Chalmal
• Onkar Ransubhe
• Anand A. Bhosale

Today agriculture is a key source of livelihood for around 50% of people in India. To bring positive growth in India’s GDP modifications in the agriculture industry are required. Every other field possesses some new technologies as compared to the agricultural field. Around 42% of the farm produce goes to waste due to the inability of farmers to detect and take precautions against plant leaf diseases. In this paper we have devised a technique to overcome this issue, this plant leaf disease detection technique can be used to detect the disease from input images. This will be helpful to maintain the better quality of the farm produce and decrease the amount of produce that goes to waste due to undetected diseases.

CNN, Plant leaf disease, ResNet Algorithm, Data Augmentation,

"Plant Leaf Disease Detection Using Data Augmentation and CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.b896-b901, June-2021, Available :http://www.jetir.org/papers/JETIR2106267.pdf

"Plant Leaf Disease Detection Using Data Augmentation and CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppb896-b901, June-2021, Available at : http://www.jetir.org/papers/JETIR2106267.pdf