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REVIEW article

Front. Environ. Sci.
Sec. Big Data, AI, and the Environment
Volume 12 - 2024 | doi: 10.3389/fenvs.2024.1375193

Digitalization of Agriculture for Sustainable Crop Production: A Use-Case Review

Provisionally accepted
Redmond R. Shamshiri Redmond R. Shamshiri 1,2*Barbara Sturm Barbara Sturm 3Cornelia Weltzien Cornelia Weltzien 3John Fulton John Fulton 4Raj Khosla Raj Khosla 5Michael Schirrmann Michael Schirrmann 3Sharvari Raut Sharvari Raut 3Hanike Deepak Hanike Deepak 3Muhammad Yamin Muhammad Yamin 6Ibrahim A. Hameed Ibrahim A. Hameed 7
  • 1 Max-Eyth-Allee 100, 14469, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Potsdam, Germany
  • 2 Chair of Agromechatronics, Straße des 17. Juni 135, 10623, Technical University of Berlin, Berlin, Brandenburg, Germany
  • 3 Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Potsdam, Brandenburg, Germany
  • 4 Department of Food, Agricultural and Biological Engineering, College of Engineering, The Ohio State University, Columbus, Ohio, United States
  • 5 Department of Soil and Crop Sciences, College of Agricultural Sciences, Colorado State University, Fort Collins, Colorado, United States
  • 6 Department of Farm Machinery and Power, Faculty of Agricultural Engineering and Technology, University of Agriculture, Faisalabad, Faisalabad, Punjab, Pakistan
  • 7 Department of ICT and Natural Sciences, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Trondheim, Sør-Trøndelag, Norway

The final, formatted version of the article will be published soon.

    The digitalization of agriculture is rapidly changing the way farmers do business. With the integration of advanced technology, farmers are now able to increase efficiency, productivity, and precision in their operations. Digitalization allows for real-time monitoring and management of crops, leading to improved yields and reduced waste. This paper presents a review of some of the use cases that digitalization has made an impact in the automation of open-field and closed-field cultivations by means of collecting data about soils, crop growth, and microclimate, or by contributing to more accurate decisions about water usage and fertilizer application. The objective was to address some of the most recent technological advances that are leading to increased efficiency and sustainability of crop production, reduction in the use of inputs and environmental impacts, and releasing manual workforces from repetitive field tasks. The short discussions included at the end of each case study attempt to highlight the limitations and technological challenges toward successful implementations, as well as to introduce alternative solutions and methods that are rapidly evolving to offer a vast array of benefits for farmers by influencing cost-saving measures. This review concludes that despite the many benefits of digitalization, there are still a number of challenges that need to be overcome, including high costs, reliability, and scalability. Most of the available setups that are currently used for this purpose have been custom designed for specific tasks and are still too expensive to be implemented on commercial scales, while others are still in their early stages of development, making them not reliable or scalable for widespread acceptance and adoption by farmers. By providing a comprehensive understanding of the current state of digitalization in agriculture and its impact on sustainable crop production and food security, this review provides insights for policy-makers, industry stakeholders, and researchers working in this field.

    Keywords: Digital agriculture, Computer Vision, Robotics, wireless, Internet of Things, 5G, Digital Twins, Block chain

    Received: 23 Jan 2024; Accepted: 02 Jul 2024.

    Copyright: © 2024 Shamshiri, Sturm, Weltzien, Fulton, Khosla, Schirrmann, Raut, Deepak, Yamin and Hameed. 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) or licensor 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.

    * Correspondence: Redmond R. Shamshiri, Max-Eyth-Allee 100, 14469, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Potsdam, Germany

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.