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Computer vision techniques for agric...

Bania, Rubul Kumar, (1983-)

Computer vision techniques for agricultural advancements

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computer vision techniques for agricultural advancementsedited by Dibya Bora, Rubul Bania.
其他作者:	Bora, Dibya Jyoti,
出版者:	Hershey, Pennsylvania :IGI Global,2025.
面頁冊數:	1 online resource (xxi, 548 p.) :ill.
標題:	Artificial IntelligenceAgricultural applications.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-8019-2
ISBN:	9798369380215$q(ebook)

Computer vision techniques for agricultural advancements
Computer vision techniques for agricultural advancements[electronic resource] /edited by Dibya Bora, Rubul Bania. - Hershey, Pennsylvania :IGI Global,2025. - 1 online resource (xxi, 548 p.) :ill.

Includes bibliographic references and index.

Preface -- Chapter 1. Automating Agricultural Processes With Computer Vision: Challenges and Solutions -- Chapter 2. Unleashing Artificial Intelligence, IoT, Big Data in Food and Agricultural Industry: Strategic and Multi-Dimensional Analysis -- Chapter 3. Enhancing Food Safety and Quality Control With Computer Vision Systems -- Chapter 4. Automated Detection of Botrytis Cinerea in Grape Leaves Using Convolutional Neural Networks -- Chapter 5. Crop Health Monitoring Through AI-Based Crop Leaf Disease Detection Systems -- Chapter 6. Hybrid Deep Learning for Citrus Disease Detection: Bridging Agricultural Needs in North East India -- Chapter 7. Crayfish-Optimized CNN and Random Forest for Effective Plant Disease Detection -- Chapter 8. Prediction of Sugarcane Diseases With Self-Designed Dataset of Assam using Deep Learning Techniques -- Chapter 9. Deep Convolutional Neural Networks for Weed Detection in Polyhouse-Grown Bell Peppers: Innovations and Applications -- Chapter 10. Green Internet of Things Advancing Sustainable Technology With Smart Agriculture in India -- Chapter 11. Innovations in Autonomous Drones for Precision Agriculture: Techniques and Applications -- Chapter12. IoT and Deep Learning-Based Smart Farm Environment Optimization and Yield Prediction Platform -- Chapter 13. Machine Vision Systems for Post-Harvest Quality Assessment -- Chapter 14. Real-Time Data Processing in Agricultural Robotics --Compilation of References -- About the Contributors -- Index.

"This book aims to explore the dynamic intersection of computer vision, artificial intelligence (AI) and agriculture, offering a comprehensive overview of the latest trends, challenges, and opportunities in this rapidly evolving field"--

Mode of access: World Wide Web.

ISBN: 9798369380215$q(ebook)Subjects--Topical Terms:

995165
Artificial Intelligence
--Agricultural applications.Subjects--Index Terms:

Artificial Intelligence (AI)Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: S494.5.D3 / C67 2025eb

Dewey Class. No.: 338.10285

Computer vision techniques for agricultural advancements
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653 $a Autonomous Drones.
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653 $a Crop Health Monitoring.
653 $a Data Processing.
653 $a Deep Learning.
653 $a Disease Detection.
653 $a Food Safety.
653 $a Internet of Things (IoT)
653 $a Neural Networks.
653 $a Precision Agriculture.
653 $a Quality Assessment.
653 $a Quality Control.
653 $a Smart Agriculture.
653 $a Sustainable Technology.
653 $a Yield Prediction.
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700 1 $a Bania, Rubul Kumar, $d 1983- $3 995164
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