Towards Fully Automated Decision-Making Systems for Precision Agriculture

Author:

Sophocleous Marios1ORCID

Affiliation:

1. University of Cyprus, Cyprus

Abstract

As the world population increases, food demands continue with it. This puts the challenge to feed the world in a continuously rising priority position, which requires to be timely and properly addressed. Precision agriculture (PA), a concept that has been around for decades with the potential to address this challenge by maximizing agricultural efficiency and effectiveness, hasn't yet seen worldwide adoption due to missing enabling technologies. Soil sensing technologies able to monitor soil fertility/quality can close the loop in maintaining optimum soil conditions for maximizing crop yield and quality through the implementation of agricultural automated decision-making systems (ADMS). This chapter provides an overview of the existing soil sensing technologies towards the implementation of ADMS and highlights the major challenges in the development of such systems. The chapter continues to give an insight on how different technologies could be combined to form sophisticated systems for agricultural applications.

Publisher

IGI Global

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Harnessing IoT for Agriculture: Evaluating the Performance of a LoRaWAN-Based Monitoring System;2023 IEEE Latin-American Conference on Communications (LATINCOM);2023-11-15

2. Electrical Modelling of In-Vivo Impedance Spectroscopy of Nicotiana tabacum Plants;Frontiers in Electronics;2021-09-21

3. A Versatile, Stand-Alone, In-Field Sensor Node for Implementation in Precision Agriculture;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2021-09

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