{"product_id":"nutritional-imaging-in-agri-food-systems-9781394399611","title":"Nutritional Imaging in Agri-Food Systems","description":"\u003cp\u003e • Author(s): Jay Kumar Pandey | Tanmay Sarkar | Wing-Fu Lai\u003cbr\u003e • Publisher: Wiley\u003cbr\u003e • Publisher Imprint: Wiley\u003cbr\u003e • BISAC: Food Science\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eRapid non-destructive nutritional analysis using advanced imaging technologies\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eTraditional nutritional analysis methods are destructive, slow, and impractical for large-scale applications. \u003ci\u003eNutritional Imaging in Agri-Food Systems\u003c\/i\u003e presents image processing as a rapid, non-destructive alternative with real-time monitoring capabilities. A team of specialists in food science, imaging, and data analytics demonstrates how visual data can assess quality, detect adulteration, and monitor safety with unprecedented speed. \u003c\/p\u003e\u003cp\u003eThis volume covers imaging technologies from visible light to multispectral, hyperspectral, thermal, fluorescence, and microscopy techniques, detailing specific applications in nutritional assessment. Case studies demonstrate scalable utilization in agriculture and food systems, including spoilage detection, automated grading, and real-time monitoring using edge AI and IoT. The book integrates machine learning, remote sensing, and digital agriculture insights. \u003c\/p\u003e\u003cp\u003eReaders will also find: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eDetailed coverage of how cameras and sensors detect color, texture, and chemical composition to identify ripeness, spoilage, and fat content\u003c\/li\u003e \u003cli\u003ePractical applications for smartphones, drones, and smart farming equipment that make food analysis faster and more accessible across operations\u003c\/li\u003e \u003cli\u003eIntegration strategies connecting machine learning, robotics, and remote sensing technologies for comprehensive agricultural and nutritional monitoring systems\u003c\/li\u003e \u003cli\u003eMethods for reducing food waste and improving food safety through automated quality control and real-time assessment at production scale\u003c\/li\u003e \u003cli\u003eScalable solutions linking agriculture, nutrition, and digital innovation for healthier food systems and more efficient supply chain management\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWritten for scientists in agricultural science, food science, nutrition, computer vision, and image processing, this reference serves professionals in food processing, quality control, and agricultural technology. Regulatory agencies and remote sensing specialists will find practical frameworks for leveraging technology in food monitoring and policy development.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Hardcover","offer_id":48170509893783,"sku":"9781394399611","price":17729.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781394399611.webp?v=1787740925","url":"https:\/\/atlanticbooks.com\/products\/nutritional-imaging-in-agri-food-systems-9781394399611","provider":"Atlantic Books","version":"1.0","type":"link"}