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Introduction: AI in Agriculture: Using Computer Vision and DefectGuard to Improve Crop Quality and Yield. Agriculture is rapidly evolving as farmers and agribusinesses confront rising input costs, labor shortages, climate uncertainty, and increasing quality expectations from global markets. Traditional farming practices—largely dependent on manual inspection and reactive decision-making—are no longer sufficient to meet these challenges at scale. Artificial Intelligence (AI),

Introduction Agriculture is undergoing a significant transformation as farms and agribusinesses face increasing pressure to improve productivity, reduce waste, and operate more sustainably. Traditional farming methods—largely dependent on manual observation and experience—are no longer sufficient to meet today’s challenges. Climate variability, labor shortages, rising input costs, and the demand for higher-quality produce are forcing the industry to adopt smarter, data-driven

In today’s competitive manufacturing landscape, delivering high-quality products at scale is more than a goal—it's a necessity. As...