RipId App: Fruit Ripeness Estimator and Object Recognition Application

In the agricultural sector, India is one of the largest nations. This is because India has a population of 1.3 billion, providing food for these people is a huge task. The cultivation and production of agricultural products in huge amounts will certainly have its own boon and bane. Producing huge amounts of food more than what the human society needs is a common problem, but if compared with the huge population that India has it is certainly a major problem. The ratio of supply and demand for the agricultural sector is not balanced at all. The survey conducted by the Central Institute of Post-Harvesting Engineering and Technology (CIPHET) states that 16% of agricultural food products are wasted because of the overproduction of the supply chain. The food products over produced are to be preserved but these preserving methods are viable for normal farmers who cannot afford these expensive preserving methods. Perishable products such as fruits and vegetables are induced with artificial chemicals which preserve them longer but are unhealthy for human consumption. This model balances the ratio between supply-demand chains by concentrating on pre-harvesting where only the right amount of ripened agricultural products is harvested through object detection and recognition methodologies. This basis model also implements the biological factors which determine the ripeness of the product.