logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Computer Vision And Machine Learning In Agriculture Volume 3 Jagdish Chand Bansal

  • SKU: BELL-51242356
Computer Vision And Machine Learning In Agriculture Volume 3 Jagdish Chand Bansal
$ 31.00 $ 45.00 (-31%)

5.0

88 reviews

Computer Vision And Machine Learning In Agriculture Volume 3 Jagdish Chand Bansal instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 7.24 MB
Pages: 215
Author: Jagdish Chand Bansal, Mohammad Shorif Uddin
ISBN: 9789819937530, 9819937531
Language: English
Year: 2023
Volume: 3

Product desciption

Computer Vision And Machine Learning In Agriculture Volume 3 Jagdish Chand Bansal by Jagdish Chand Bansal, Mohammad Shorif Uddin 9789819937530, 9819937531 instant download after payment.

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.

Related Products