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

Asheesh K. Singh; Behzad J. Balabaygloo; Barituka Bekee; Samuel W. Blair; Suzanne Fey; Fateme Fotouhi; Ashish Gupta; Amit Jha; Jorge C. Martinez-Palomares; Kevin Menke; Aaron Prestholt; Vishesh K. Tanwar; Xu Tao; Anusha Vangala; Matthew E. Carroll; Sajal K. Das; Guilherme DePaula; Peter Kyveryga; Soumik Sarkar; Michelle Segovia; Simone Silvestri; Corinne Valdivia

doi:10.3389/fagro.2024.1410829

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

Asheesh K. Singh, Behzad J. Balabaygloo, Barituka Bekee, Samuel W. Blair, Suzanne Fey, Fateme Fotouhi, Ashish Gupta, Amit Jha, Jorge C. Martinez-Palomares, Kevin Menke, Aaron Prestholt, Vishesh K. Tanwar, Xu Tao, Anusha Vangala, Matthew E. Carroll, Sajal K. Das, Guilherme DePaula, Peter Kyveryga, Soumik Sarkar, Michelle SegoviaSimone Silvestri, Corinne Valdivia

Research output: Contribution to journal › Review article › peer-review

9 Scopus citations

Abstract

To 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.

Original language	English
Article number	1410829
Journal	Frontiers in Agronomy
Volume	6
DOIs	https://doi.org/10.3389/fagro.2024.1410829
State	Published - 2024

Bibliographical note

Publisher Copyright:
Copyright © 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.

Funding

The 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\u201367021-35329), 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\u201367021-29938), and USDA CRIS Project IOW04714. The 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\u201367021-35329), 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\u201367021-29938), and USDA CRIS Project IOW04714. Acknowledgments

Funders	Funder number
Smart Integrated Farm Network for Rural Agricultural Communities
NSF CPS	1954556, USDA-NIFA 2019–67021-29938
USDA-ARS CRIS	IOW04714
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China	S&CC 1952045, USDA-NIFA 2021–67021-35329
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China

Keywords

IoT
cyber-agricultural systems
data analytics
edge computing
farmer networks
precision agriculture
sensors
technology adoption

ASJC Scopus subject areas

Agronomy and Crop Science
Agricultural and Biological Sciences (miscellaneous)
Soil Science
Plant Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3389/fagro.2024.1410829

Cite this

Singh, A. K., Balabaygloo, B. J., Bekee, B., Blair, S. W., Fey, S., Fotouhi, F., Gupta, A., Jha, A., Martinez-Palomares, J. C., Menke, K., Prestholt, A., Tanwar, V. K., Tao, X., Vangala, A., Carroll, M. E., Das, S. K., DePaula, G., Kyveryga, P., Sarkar, S., ... Valdivia, C. (2024). Smart connected farms and networked farmers to improve crop production, sustainability and profitability. Frontiers in Agronomy, 6, Article 1410829. https://doi.org/10.3389/fagro.2024.1410829

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abstract = "To 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.",

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note = "Publisher Copyright: Copyright {\textcopyright} 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.",

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Singh, 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 & Valdivia, C 2024, 'Smart connected farms and networked farmers to improve crop production, sustainability and profitability', Frontiers in Agronomy, vol. 6, 1410829. https://doi.org/10.3389/fagro.2024.1410829

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T1 - Smart connected farms and networked farmers to improve crop production, sustainability and profitability

AU - Singh, Asheesh K.

AU - Balabaygloo, Behzad J.

AU - Bekee, Barituka

AU - Blair, Samuel W.

AU - Fey, Suzanne

AU - Fotouhi, Fateme

AU - Gupta, Ashish

AU - Jha, Amit

AU - Martinez-Palomares, Jorge C.

AU - Menke, Kevin

AU - Prestholt, Aaron

AU - Tanwar, Vishesh K.

AU - Tao, Xu

AU - Vangala, Anusha

AU - Carroll, Matthew E.

AU - Das, Sajal K.

AU - DePaula, Guilherme

AU - Kyveryga, Peter

AU - Sarkar, Soumik

AU - Segovia, Michelle

AU - Silvestri, Simone

AU - Valdivia, Corinne

N1 - Publisher Copyright: Copyright © 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.

PY - 2024

Y1 - 2024

N2 - To 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.

AB - To 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.

KW - IoT

KW - cyber-agricultural systems

KW - data analytics

KW - edge computing

KW - farmer networks

KW - precision agriculture

KW - sensors

KW - technology adoption

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JO - Frontiers in Agronomy

JF - Frontiers in Agronomy

M1 - 1410829

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

Abstract

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this