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{ "item_title" : "Image Processing and AI Applications for Ripening of Fruits", "item_author" : [" Srividhya V", "Sujatha Kesavan", "Aruna M "], "item_description" : "In agricultural science, the quality identification of fruits and vegetables were categorized with differentiating colour, shape, dimension and texture. The proposed technique will enable to develop a smart phone App which uses intelligent image processing algorithms to scan the attributes of the fruits exhibited in a supermarket and assess its nutritional values like total carbohydrates including sugars like glucose, fructose, sucrose, potassium, magnesium and vitamins like vitamin A and vitamin C, antioxidants along with microbial contamination.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/6/20/765/081/6207650816_b.jpg", "price_data" : { "retail_price" : "48.00", "online_price" : "48.00", "our_price" : "48.00", "club_price" : "48.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Image Processing and AI Applications for Ripening of Fruits|Srividhya V

Image Processing and AI Applications for Ripening of Fruits

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Overview

In agricultural science, the quality identification of fruits and vegetables were categorized with differentiating colour, shape, dimension and texture. The proposed technique will enable to develop a smart phone App which uses intelligent image processing algorithms to scan the attributes of the fruits exhibited in a supermarket and assess its nutritional values like total carbohydrates including sugars like glucose, fructose, sucrose, potassium, magnesium and vitamins like vitamin A and vitamin C, antioxidants along with microbial contamination.

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Details

  • ISBN-13: 9786207650811
  • ISBN-10: 6207650816
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: September 2024
  • Dimensions: 9 x 6 x 0.16 inches
  • Shipping Weight: 0.25 pounds
  • Page Count: 68

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