• Vipul Roy
• Rahul Singh
• Vibhavari Borole
• Monica Gunjal
• Amruta Thorat

India has a tropical environment, allowing for the easy growth of fruits and vegetable plants there. Fruits are packed with vitamins, proteins, and other beneficial components. However, there is a time frame within which the fruit is still considered to be fresh. Many fruit suppliers continue to supply fruit that is unfit for ingestion at this time due to errors made during the sorting process when the fruit is removed from the plantation and the inclusion of other fruits in the wrong packaging. As a result, it is critical to identify food rotting from the production stage through consumption. Therefore, we propose a design of computer vision based technique using deep learning with the Convolutional Neural Network (CNN) model to detect

Convolutional Neural Network (CNN), Deep Learning

"Detection of Fresh/Rotten Fruits using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.b144-b149, July-2023, Available :http://www.jetir.org/papers/JETIR2307120.pdf

"Detection of Fresh/Rotten Fruits using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppb144-b149, July-2023, Available at : http://www.jetir.org/papers/JETIR2307120.pdf