Detection of Ripe and Raw Tomatoes using Internet of Things

Agriculture is the backbone of humankind. Labour plays a major role in agriculture, particularly in tomato cultivation. Tomatoes play an important role in human diet. On the other hand, tomato harvesting is becoming increasingly difficult due to labour shortage. As a result, the price of tomatoes has continued to increase. This makes it difficult for farmers and exporters to sell and buy tomatoes. The primary goal is to assist farmers. Farmers typically look for ripe tomatoes to sell, and they identify ripe tomatoes based on their colour. The sensors included in the proposed model automatically separate the harvested tomatoes into ripe [red] and raw [green] tomatoes. Using this information, the colour sensing technique is used to make farmers' jobs easier when harvesting tomatoes. This research also intends to assist farmers in identifying the ripe and raw tomatoes and separate them accordingly. This classification process can be applied either before harvesting in the field or after collecting them from the storage.