• RAMYA M
• RITHIKA D
• DR.R.NAGENDRAN

Any country's economy is built on agriculture, and one of the most profitable agricultural pursuits in the world is growing tomatoes. Tomatoes are one of the most popular vegetables in the world and are used in a variety of food products. But gathering and inspecting ripening tomatoes by hand is time- consuming and labor-intensive, increasing labor costs and decreasing agricultural productivity.Tomato quality is greatly influenced by their shape, and market value is largely determined by how tomatoes are categorized based on this criterion. Therefore, it becomes necessary to create an automated system that can evaluate and classify tomato quality. This method promises to save time and effort while improving farm sustainability.

deep learning, convolutional neural network, agricultural, tomato classification, ripe, unripe, or defective, labor and time savings.

"An Automated Tomato Sorting using CNN-ANN based algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.g480-g486, April-2024, Available :http://www.jetir.org/papers/JETIR2404664.pdf

"An Automated Tomato Sorting using CNN-ANN based algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppg480-g486, April-2024, Available at : http://www.jetir.org/papers/JETIR2404664.pdf