International Journal of Agriculture Extension and Social Development

author(s)
Vinayak Savalagi and Sumayya Mullal

abstract
In the context of a rapidly growing global population, the demand for food grains is anticipated to surge and agriculture remains the primary means of meeting the growing food demands of our expanding global population. Agriculture continues to grapple with challenges spanning from land preparation to marketing. The presence of designated diseases, physical impurities and genetic anomalies further compounds the problem, resulting in reduced yields and even crop failures, particularly when dealing with low seedling vigour and subpar seed quality. To tackle these pressing issues, there's a compelling need for a cutting-edge solution from the new generation of technologies. This solution should be characterized by speed, precision, accuracy, and indispensability, qualities that can be effectively harnessed through the application of Artificial Intelligence (AI). Artificial Intelligence (AI) can be used in various aspects of seed science, including seed production, certification, processing, quality control, seed storage, and marketing. Presently, AI has been exploited in the field of quality control. Seed image analyzers can be used to control seed quality by characterizing and identifying seed varieties, sorting and grading seeds, conducting physiological assessments, such as evaluating seed vigour, viability, and germination percentage, and detecting signs of mechanical damage, insect infestations, and diseases in seeds. AI can also be used for precision farming, crop monitoring, data-driven decisions, crop sorting and grading, labour efficiency, disease detection, soil health assessment, and climate adaptation.