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Agricultural Internet of Things and Decision Support for Smart Farming – eBook PDF

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eBook details

  • Authors: Annamaria Castrignano, Gabriele  Buttafuoco, Raj Khosla, Abdul Mouazen, Dimitrios Moshou, Oliver Naud
  • File Size: 9 MB
  • Format: PDF
  • Length: 472 pages
  • Publisher: Academic Press
  • Publication Date: January 9, 2020
  • Language: English
  • ASIN: B083RTLYVP
  • ISBN-10: 012818373X
  • ISBN-13: 9780128183731
SKU: agricultural-internet-of-things-and-decision-support-for-precision-smart-farming-ebook-pdf Categories: , , , , , Tags: , , ,

Description

Agricultural Internet of Things and Decision Support for Smart Farming – eBook PDF

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

Offers the science behind smart technologies for agricultural management

  • Discloses the power of data science and how to extract meaningful insights from big data on what is most appropriate based on individual time and space
  • Shows how advanced technologies used in agriculture practices can become site-specific, locally adaptive, operationally feasible and economically affordable

Review

Includes precision farming systems that gather and use context data to build empirical evidence for identifying and applying agronomic decisions

NOTE: This sale only includes the ebook Agricultural Internet of Things and Decision Support for Smart Farming in PDF. No access codes included.

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