Computer Vision and Machine Learning in Agriculture Volume 2 is popular PDF and ePub book, written by Mohammad Shorif Uddin in 2022-03-13, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Computer Vision and Machine Learning in Agriculture Volume 2 can be Read Online from any device for your convenience.
Computer Vision and Machine Learning in Agriculture Volume 2 Book PDF Summary
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.
Detail Book of Computer Vision and Machine Learning in Agriculture Volume 2 PDF
- Author : Mohammad Shorif Uddin
- Release : 13 March 2022
- Publisher : Springer Nature
- ISBN : 9789811699917
- Genre : Technology & Engineering
- Total Page : 269 pages
- Language : English
- PDF File Size : 21,5 Mb
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