Internet of Things in arable farming: Implementation, applications, challenges and potential. (March 2020)

• Record Type: Journal Article
• Authors: Villa-Henriksen, Andrés; Edwards, Gareth T.C.; Pesonen, Liisa A.; Green, Ole; Sørensen, Claus Aage Grøn
• Is Part Of: Biosystems engineering. Volume 191(2020)
• Page Start: 60
• Page End: 84
• Publication Date: 2020-03
• Subjects: Smart farming -- Internet of things -- Wireless sensor network -- Farm management information system -- Big data -- Machine learning; Bioengineering -- Periodicals; Agricultural engineering -- Periodicals; Biological systems -- Periodicals; Génie rural -- Périodiques; Systèmes biologiques -- Périodiques; 631
• DOI: 10.1016/j.biosystemseng.2019.12.013
• Languages: English
• ISSNs: 1537-5110

Abstract

Abstract : The Internet of Things is allowing agriculture, here specifically arable farming, to become data-driven, leading to more timely and cost-effective production and management of farms, and at the same time reducing their environmental impact. This review is addressing an analytical survey of the current and potential application of Internet of Things in arable farming, where spatial data, highly varying environments, task diversity and mobile devices pose unique challenges to be overcome compared to other agricultural systems. The review contributes an overview of the state of the art of technologies deployed. It provides an outline of the current and potential applications, and discusses the challenges and possible solutions and implementations. Lastly, it presents some future directions for the Internet of Things in arable farming. Current issues such as smart phones, intelligent management of Wireless Sensor Networks, middleware platforms, integrated Farm Management Information Systems across the supply chain, or autonomous vehicles and robotics stand out because of their potential to lead arable farming to smart arable farming. During the implementation, different challenges are encountered, and here interoperability is a key major hurdle throughout all the layers in the architecture of an Internet of Things system, which can be addressed by shared standards and protocols. Challenges such as affordability, device power consumption, network latency, Big Data analysis, data privacy and security, among others, have been identified by the articles reviewed and are discussed in detail. Different solutions to all identified challenges are presented addressing technologies such as machine learning, middleware platforms, or intelligent data management. Highlights: The role of Internet of Things in arable farming is reviewed. Internet of Things is leading arable farming to become data-driven. Implementation and application are described in depth. Challenges, corresponding solutions and potentials are discussed thoroughly.