• Prerana Aghorker
• Abhay Kathar
• Kamlesh Laghate
• Kumar Sanu Lal
• Prof. Sarita Sapkal

It is commonly known that toxic pesticides have a negative influence on the production process and ultimately on the product quality of many industries. Therefore, it is reason able to consider pesticide detection a crucial task in these production procedures in order to make relevant pesticide management decisions. However, the challenge here is the localization and classification of healthy and unhealthy fruits due to high similarity in features between them.Inspired by the achievement of the Deep Convolutional Neural Network (CNN), this project identifies a method of making predictions based on available images.

Banana, Deep Convolutional Neural Network, Pesticides Detection

"PESTICIDE DETECTION ON BANANA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.923-928, April-2020, Available :http://www.jetir.org/papers/JETIR2004322.pdf

"PESTICIDE DETECTION ON BANANA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp923-928, April-2020, Available at : http://www.jetir.org/papers/JETIR2004322.pdf