Vol. 10, Special Issue 10 (2021)

Author(s):
Chakradhar Patra

Abstract:
Agriculture and farming are one of the oldest and most important professions in the world. It plays an important role in the economic sector. Worldwide, agriculture is a $5 trillion industry. Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the simplest to those that are even more complex. The goals of artificial intelligence include learning, reasoning, and perception. It has been trying hard to bring various kinds of technologies especially agriculture related, to a qualitatively new level. Quality inspection of food and agricultural produce are difficult and labour intensive. Simultaneously, with increased expectations for food products of high quality and safety standards, the need for accurate, fast and objective quality determination of these characteristics in food products continues to grow. However, these operations generally in India are manual which is costly as well as unreliable because human decision in identifying quality factors such as appearance, flavour, nutrient, texture, etc., is inconsistent, subjective and slow. Machine vision provides one alternative for an automated, non-destructive and cost-effective technique to accomplish these requirements. This inspection approach based on image analysis and processing has found a variety of different applications in the food industry. Considerable research has highlighted its potential for the inspection and grading of fruits and vegetables, grain quality and characteristic examination and quality evaluation. The automation in agriculture is the main concern and the emerging subject across the world. The current status of machine visual technology applied in inspection of agricultural products will be analysed in this text. Parts of problems in practical application will be summarized and its future develop direction will be discussed here.