Analytical Study on IoT and Machine Learning based Grading and Sorting System for Fruits
Pratiksha Nirale, Mangala Madankar
Abstract
In this age of modern farming, it is very important to grow in terms of quality practice and the number of products offered. As in India, many people depend on growing crops and fruits. When it comes to counting and sorting fruits and vegetables by hand it takes a much higher amount of remuneration to pay the workers and they will not be able to get a good result. So, to overcome this problem of farmers and strengthen them with a low-cost savings plan this is the IoT and Machine Learning priority and fruit planning. In this research machine learning is used to detect the fruit phase and the recording process, the IoT camera is used with the microcontroller module which will be available to connect to coding and show computer usage.