Smart connected farms and networked farmers to improve crop production, sustainability and profitability

dc.contributor.authorSingh, Asheesh K.
dc.contributor.authorBalabaygloo, Behzad J.
dc.contributor.authorBekee, Barituka
dc.contributor.authorBlair, Samuel W.
dc.contributor.authorFey, Suzanne
dc.contributor.authorFotouhi, Fateme
dc.contributor.authorGupta, Ashish
dc.contributor.authorJha, Amit
dc.contributor.authorMartinez-Palomares, Jorge C.
dc.contributor.authorMenke, Kevin
dc.contributor.authorPrestholt, Aaron
dc.contributor.authorTanwar, Vishesh K.
dc.contributor.authorTao, Xu
dc.contributor.authorVangala, Anusha
dc.contributor.authorCarroll, Matthew E.
dc.contributor.authorDas, Sajal K.
dc.contributor.authorDePaula, Guilherme
dc.contributor.authorKyveryga, Peter
dc.contributor.authorSarkar, Soumik
dc.contributor.authorSegovia, Michelle
dc.contributor.authorSilvestri, Simone
dc.contributor.authorValdivia, Corinne
dc.date.accessioned2024-10-11T17:19:47Z
dc.date.available2024-10-11T17:19:47Z
dc.date.issued2024-08-08
dc.descriptionThis article was originally published in Frontiers in Agronomy by Frontiers Media . The version of record is available at: https://doi.org/10.3389/fagro.2024.1410829. © 2024 Singh, Balabaygloo, Bekee, Blair, Fey, Fotouhi, Gupta, Jha, Martinez-Palomares, Menke, Prestholt, Tanwar, Tao, Vangala, Carroll, Das, DePaula, Kyveryga, Sarkar, Segovia, Silvestri and Valdivia. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
dc.description.abstractTo meet the grand challenges of agricultural production including climate change impacts on crop production, a tight integration of social science, technology and agriculture experts including farmers are needed. Rapid advances in information and communication technology, precision agriculture and data analytics, are creating a perfect opportunity for the creation of smart connected farms (SCFs) and networked farmers. A network and coordinated farmer network provides unique advantages to farmers to enhance farm production and profitability, while tackling adverse climate events. The aim of this article is to provide a comprehensive overview of the state of the art in SCF including the advances in engineering, computer sciences, data sciences, social sciences and economics including data privacy, sharing and technology adoption. More specifically, we provide a comprehensive review of key components of SCFs and crucial elements necessary for its success. It includes, high-speed connections, sensors for data collection, and edge, fog and cloud computing along with innovative wireless technologies to enable cyber agricultural system. We also cover the topic of adoption of these technologies that involves important considerations around data analysis, privacy, and the sharing of data on platforms. From a social science and economics perspective, we examine the net-benefits and potential barriers to data-sharing within agricultural communities, and the behavioral factors influencing the adoption of SCF technologies. The focus of this review is to cover the state-of-the-art in smart connected farms with sufficient technological infrastructure; however, the information included herein can be utilized in geographies and farming systems that are witnessing digital technologies and want to develop SCF. Overall, taking a holistic view that spans technical, social and economic dimensions is key to understanding the impacts and future trajectory of Smart and Connected Farms.
dc.description.sponsorshipThe author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by Smart Integrated Farm Network for Rural Agricultural Communities (SIRAC) (NSF S&CC 1952045), AI Institute for Resilient Agriculture (USDA-NIFA 2021–67021-35329), COALESCE: COntext Aware LEarning for Sustainable CybEr-Agricultural Systems (NSF CPS Frontier 1954556), FACT: A Scalable Cyber Ecosystem for Acquisition, Curation, and Analysis of Multispectral UAV Image Data (USDA-NIFA 2019–67021-29938), and USDA CRIS Project IOW04714.
dc.identifier.citationSingh AK, Balabaygloo BJ, Bekee B, Blair SW, Fey S, Fotouhi F, Gupta A, Jha A, Martinez-Palomares JC, Menke K, Prestholt A, Tanwar VK, Tao X, Vangala A, Carroll ME, Das SK, DePaula G, Kyveryga P, Sarkar S, Segovia M, Silvestri S and Valdivia C (2024) Smart connected farms and networked farmers to improve crop production, sustainability and profitability. Front. Agron. 6:1410829. doi: 10.3389/fagro.2024.1410829
dc.identifier.issn2673-3218
dc.identifier.urihttps://udspace.udel.edu/handle/19716/35227
dc.language.isoen_US
dc.publisherFrontiers in Agronomy
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectcyber-agricultural systems
dc.subjectIoT
dc.subjectdata analytics
dc.subjectprecision agriculture
dc.subjectedge computing
dc.subjectsensors
dc.subjectfarmer networks
dc.subjecttechnology adoption
dc.subjectzero hunger
dc.subjectindustry, innovation and infrastructure
dc.subjectresponsible consumption and production
dc.titleSmart connected farms and networked farmers to improve crop production, sustainability and profitability
dc.typeArticle

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