This book is as an extension of previous book “Computer Vision
and Machine Learning in Agriculture” for academicians,
researchers, and professionals interested in solving the problems
of agricultural plants and products for boosting production by
rendering the advanced machine learning including deep learning
tools and techniques to computer vision algorithms. The book
contains 15 chapters. The first three chapters are devoted to crops
harvesting, weed, and multi-class crops detection with the help of
robots and UAVs through machine learning and deep learning
algorithms for smart agriculture. Next, two chapters describe
agricultural data retrievals and data collections. Chapters 6, 7, 8
and 9 focuses on yield estimation, crop maturity detection,
agri-food product quality assessment, and medicinal plant
recognition, respectively. The remaining six chapters concentrates
on optimized disease recognition through computer vision-based
machine and deep learning strategies.
General
Imprint: |
Springer Verlag, Singapore
|
Country of origin: |
Singapore |
Series: |
Algorithms for Intelligent Systems |
Release date: |
March 2023 |
First published: |
2022 |
Editors: |
Mohammad Shorif Uddin
• Jagdish Chand Bansal
|
Dimensions: |
235 x 155mm (L x W) |
Pages: |
260 |
Edition: |
1st ed. 2022 |
ISBN-13: |
978-981-16-9993-1 |
Categories: |
Books
|
LSN: |
981-16-9993-3 |
Barcode: |
9789811699931 |
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