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Agricultural Internet Of Things And Decision Support For Smart Farming Annamaria Castrignano Gabriele Buttafuoco Raj Khosla Dimitrios Moshou Abdul Mouazen Olivier Naud

  • SKU: BELL-10818664
Agricultural Internet Of Things And Decision Support For Smart Farming Annamaria Castrignano Gabriele Buttafuoco Raj Khosla Dimitrios Moshou Abdul Mouazen Olivier Naud
$ 31.00 $ 45.00 (-31%)

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Agricultural Internet Of Things And Decision Support For Smart Farming Annamaria Castrignano Gabriele Buttafuoco Raj Khosla Dimitrios Moshou Abdul Mouazen Olivier Naud instant download after payment.

Publisher: Academic Press
File Extension: PDF
File size: 8.96 MB
Pages: 462
Author: Annamaria Castrignano; Gabriele Buttafuoco; Raj Khosla; Dimitrios Moshou; Abdul Mouazen; Olivier Naud
ISBN: 9780128183731, 012818373X
Language: English
Year: 2020

Product desciption

Agricultural Internet Of Things And Decision Support For Smart Farming Annamaria Castrignano Gabriele Buttafuoco Raj Khosla Dimitrios Moshou Abdul Mouazen Olivier Naud by Annamaria Castrignano; Gabriele Buttafuoco; Raj Khosla; Dimitrios Moshou; Abdul Mouazen; Olivier Naud 9780128183731, 012818373X instant download after payment.

Agricultural Internet of Things and Decision Support for Smart Farming reveals how a set of key enabling technologies (KET) related to agronomic management, remote and proximal sensing, data mining, decision-making and automation can be efficiently integrated in one system. Chapters cover how KETs enable real-time monitoring of soil conditions, determine real-time, site-specific requirements of crop systems, help develop a decision support system (DSS) aimed at maximizing the efficient use of resources, and provide planning for agronomic inputs differentiated in time and space. This book is ideal for researchers, academics, post-graduate students and practitioners who want to embrace new agricultural technologies.

  • Presents the science behind smart technologies for agricultural management
  • Reveals the power of data science and how to extract meaningful insights from big data on what is most suitable based on individual time and space
  • Proves how advanced technologies used in agriculture practices can become site-specific, locally adaptive, operationally feasible and economically affordable

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