Computer Vision and Machine Learning in Agriculture, Volume 2

Released on by Mohammad Shorif Uddin
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  • Computer Vision and Machine Learning in Agriculture, Volume 2 Book Detail

  • Author : Mohammad Shorif Uddin
  • Release Date : 2022-03-13
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Pages : 269
  • ISBN 13 : 9811699917
  • File Size : 8,8 MB
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Computer Vision and Machine Learning in Agriculture, Volume 2 by Mohammad Shorif Uddin PDF Summary

Book Description: 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.

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Artificial Intelligence in Agriculture

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File Size : 34,34 MB
Total View : 9813 Views
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This book is a platform for anyone who wishes to explore Artificial Intelligence in the field of agriculture from scratch or broaden their understanding and its