Artificial Intelligence Applications in Agriculture and Food Quality Improvement

by Shaheen Khatoon, Amanpreet Das

ISBN: 9789371706155
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Imprint : Agri Horti Press
Year : 2026
Price : Rs. 14990.00
Biblio : 136p., tbls., figs., ind., 25cm.,

About The Book

• Precision Agriculture: Utilize AI for optimized resource management, crop monitoring, and yield prediction. • Crop Health Monitoring: Early detection of diseases and pests through AI-powered image analysis and sensor networks. • Smart Irrigation: AI-driven systems for efficient water management and maximizing crop yield. • Supply Chain Optimization: Predictive analytics for demand forecasting and logistics optimization, reducing food loss. • Quality Control: AI-based technologies ensure adherence to safety standards and detect contaminants in food production. • Consumer Preferences: Analyze vast data for personalized product recommendations and market insights. • Ethical and Regulatory Compliance: Address concerns regarding data privacy, algorithmic bias, and equitable access to technology.

Table of Contents

Preface v 1. Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment 1 2. Modeling Pinot Noir Aroma Profiles Based On Weather And Water Management Information Using Machine Learning Algorithms: A Vertical Vintage Analysis Using Artificial Intelligence 5 3. Chocolate Quality Assessment Based on Chemical Fingerprinting Using Near Infra-Red and Machine Learning Modeling 21 4. Comparative Study Of Several Machine Learning Algorithms For Classification Of Unifloral Honeys 33 5. Sensory Descriptor Analysis of Whisky Lexicons Through The Use of Deep Learning 59 6. Insights Into Drivers Of Liking For Avocado Pulp (Persea Americana): Integration Of Descriptive Variables And Predictive Modeling 77 7. A Multisensor Data Fusion Approach for Predicting Consumer Acceptance of Food Products 101 Index 123