IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i2p436-d1066790.html
   My bibliography  Save this article

SOLARIA-SensOr-driven resiLient and adaptive monitoRIng of farm Animals

Author

Listed:
  • Suresh Neethirajan

    (Farmworx Research Institute, Van der Waals straat, 6706 JS Wageningen, The Netherlands)

Abstract

Sensor-enabled big data and artificial intelligence platforms have the potential to address global socio-economic trends related to the livestock production sector through advances in the digitization of precision livestock farming. The increased interest in animal welfare, the likely reduction in the number of animals in relation to population growth in the coming decade and the growing demand for animal proteins pose an acute challenge to prioritizing animal welfare on the one hand, while maximizing the efficiency of production systems on the other. Current digital approaches do not meet these challenges due to a lack of efficient and lack of real-time non-invasive precision measurement technologies that can detect and monitor animal diseases and identify resilience in animals. In this opinion review paper, I offer a critical view of the potential of wearable sensor technologies as a unique and necessary contribution to the global market for farm animal health monitoring. To stimulate the sustainable, digital and resilient recovery of the agricultural and livestock industrial sector, there is an urgent need for testing and developing new ideas and products such as wearable sensors. By validating and demonstrating a fully functional wearable sensor prototype within an operational environment on the livestock farm that includes a miniaturized animal-borne biosensor and an artificial intelligence (AI)-based data acquisition and processing platform, the current needs, which have not yet been met, can be fulfilled. The expected quantifiable results from wearable biosensors will demonstrate that the digitization technology can perform acceptably within the performance parameters specified by the agricultural sector and under operational conditions, to measurably improve livestock productivity and health. The successful implementation of the digital wearable sensor networks would provide actionable real-time information on animal health status and can be deployed directly on the livestock farm, which will strengthen the green and digital recovery of the economy due to its significant and innovative potential.

Suggested Citation

  • Suresh Neethirajan, 2023. "SOLARIA-SensOr-driven resiLient and adaptive monitoRIng of farm Animals," Agriculture, MDPI, vol. 13(2), pages 1-19, February.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:2:p:436-:d:1066790
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/2/436/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/13/2/436/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Louisa Prause & Sarah Hackfort & Margit Lindgren, 2021. "Digitalization and the third food regime," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 38(3), pages 641-655, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tao Li & Jianqiang Luo & Kaitong Liang & Chaonan Yi & Lei Ma, 2023. "Synergy of Patent and Open-Source-Driven Sustainable Climate Governance under Green AI: A Case Study of TinyML," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    2. Suresh Neethirajan, 2023. "AI in Sustainable Pig Farming: IoT Insights into Stress and Gait," Agriculture, MDPI, vol. 13(9), pages 1-39, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wenxuan Geng & Liping Liu & Junye Zhao & Xiaoru Kang & Wenliang Wang, 2024. "Digital Technologies Adoption and Economic Benefits in Agriculture: A Mixed-Methods Approach," Sustainability, MDPI, vol. 16(11), pages 1-24, May.
    2. Nawab Khan & Ram L. Ray & Hazem S. Kassem & Sajjad Hussain & Shemei Zhang & Muhammad Khayyam & Muhammad Ihtisham & Simplice A. Asongu, 2021. "Potential Role of Technology Innovation in Transformation of Sustainable Food Systems: A Review," Agriculture, MDPI, vol. 11(10), pages 1-20, October.
    3. Pauline Pedehour & Marianne Lefebvre, 2023. "Combining digital technologies and incentives for water conservation: A Q-method study to understand preferences of French irrigators," Post-Print hal-04626643, HAL.
    4. Julie Guthman & Michaelanne Butler, 2023. "Fixing food with a limited menu: on (digital) solutionism in the agri-food tech sector," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 40(3), pages 835-848, September.
    5. Hilary Oliva Faxon, 2023. "Small farmers, big tech: agrarian commerce and knowledge on Myanmar Facebook," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 40(3), pages 897-911, September.
    6. Ehlers, Melf-Hinrich & Finger, Robert & El Benni, Nadja & Gocht, Alexander & Sørensen, Claus Aage Grøn & Gusset, Markus & Pfeifer, Catherine & Poppe, Krijn & Regan, Áine & Rose, David Christian & Wolf, 2022. "Scenarios for European agricultural policymaking in the era of digitalisation," Agricultural Systems, Elsevier, vol. 196(C).
    7. Mascha Gugganig & Karly Ann Burch & Julie Guthman & Kelly Bronson, 2023. "Contested agri-food futures: Introduction to the Special Issue," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 40(3), pages 787-798, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:13:y:2023:i:2:p:436-:d:1066790. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.