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Computer vision and machine learning...

Bansal, Jagdish Chand.

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Computer vision and machine learning in agriculture.. Volume 3

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computer vision and machine learning in agriculture./ edited by Jagdish Chand Bansal, Mohammad Shorif Uddin.
other author:	Bansal, Jagdish Chand.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	x, 215 p. :ill., digital ;24 cm.
[NT 15003449]:	Leveraging Computer Vision for Precision Viticulture -- An intelligent vision-guided framework of the unmanned aerial system for precision agriculture -- Data Preprocessing Techniques for Supervised Learning on Agricultural Data -- Strawberries Maturity Level Detection Using Convolutional Neural Network (CNN) and Ensemble Method -- Recognition of Fresh and Rotten Fruits through the Development of a Dataset.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Agricultural applications. -
Online resource:	https://doi.org/10.1007/978-981-99-3754-7
ISBN:	9789819937547

Computer vision and machine learning in agriculture.. Volume 3
Computer vision and machine learning in agriculture.Volume 3[electronic resource] /edited by Jagdish Chand Bansal, Mohammad Shorif Uddin. - Singapore :Springer Nature Singapore :2023. - x, 215 p. :ill., digital ;24 cm. - Algorithms for intelligent systems,2524-7573. - Algorithms for intelligent systems..

Leveraging Computer Vision for Precision Viticulture -- An intelligent vision-guided framework of the unmanned aerial system for precision agriculture -- Data Preprocessing Techniques for Supervised Learning on Agricultural Data -- Strawberries Maturity Level Detection Using Convolutional Neural Network (CNN) and Ensemble Method -- Recognition of Fresh and Rotten Fruits through the Development of a Dataset.

This book is as an extension of the previous two volumes on "Computer Vision and Machine Learning in Agriculture". This volume 3 discusses solutions to the problems of agricultural production by rendering advanced machine learning including deep learning tools and techniques. The book contains 13 chapters that focus on in-depth research outputs in precision agriculture, crop farming, horticulture, floriculture, vertical farming, animal husbandry, disease detection, plant recognition, production yield, product quality, defect assessment, and overall automation through robots and drones. The topics covered in the current volume, along with the previous volumes, are comprehensive literature for both beginners and experienced in this domain.

ISBN: 9789819937547

Standard No.: 10.1007/978-981-99-3754-7doiSubjects--Topical Terms:

3299845
Artificial intelligence
--Agricultural applications.

LC Class. No.: S494.5.D3

Dewey Class. No.: 338.160285637

Computer vision and machine learning in agriculture.. Volume 3
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245 0 0 $a Computer vision and machine learning in agriculture. $n Volume 3 $h [electronic resource] / $c edited by Jagdish Chand Bansal, Mohammad Shorif Uddin.
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300 $a x, 215 p. : $b ill., digital ; $c 24 cm.
490 1 $a Algorithms for intelligent systems, $x 2524-7573
505 0 $a Leveraging Computer Vision for Precision Viticulture -- An intelligent vision-guided framework of the unmanned aerial system for precision agriculture -- Data Preprocessing Techniques for Supervised Learning on Agricultural Data -- Strawberries Maturity Level Detection Using Convolutional Neural Network (CNN) and Ensemble Method -- Recognition of Fresh and Rotten Fruits through the Development of a Dataset.
520 $a This book is as an extension of the previous two volumes on "Computer Vision and Machine Learning in Agriculture". This volume 3 discusses solutions to the problems of agricultural production by rendering advanced machine learning including deep learning tools and techniques. The book contains 13 chapters that focus on in-depth research outputs in precision agriculture, crop farming, horticulture, floriculture, vertical farming, animal husbandry, disease detection, plant recognition, production yield, product quality, defect assessment, and overall automation through robots and drones. The topics covered in the current volume, along with the previous volumes, are comprehensive literature for both beginners and experienced in this domain.
650 0 $a Artificial intelligence $x Agricultural applications. $3 3299845
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650 0 $a Machine learning. $3 533906
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Robotics. $3 519753
650 2 4 $a Agriculture. $3 518588
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
700 1 $a Bansal, Jagdish Chand. $3 3378378
700 1 $a Uddin, Mohammad Shorif. $3 3443392
710 2 $a SpringerLink (Online service) $3 836513
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830 0 $a Algorithms for intelligent systems. $3 3443393
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