Academic Journal
Harnessing Digital Technologies in the Agro-Food Sector: An IoT-Driven Precision Agriculture Framework for Achieving Sustainable Development Goals.
| Τίτλος: | Harnessing Digital Technologies in the Agro-Food Sector: An IoT-Driven Precision Agriculture Framework for Achieving Sustainable Development Goals. |
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| Συγγραφείς: | Sakthivel TG; Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS)., Ashok R; Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS)., M A; Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS)., Kumar APS; School of Social Work, College of Social Sciences and Humanities, Jigjiga University; senthilapsk@jju.edu.et. |
| Πηγή: | Journal of visualized experiments : JoVE [J Vis Exp] 2026 Aug 25 (234). Date of Electronic Publication: 2026 Aug 25. |
| Τύπος έκδοσης: | Journal Article; Video-Audio Media |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: MYJoVE Corporation Country of Publication: United States NLM ID: 101313252 Publication Model: Electronic Cited Medium: Internet ISSN: 1940-087X (Electronic) Linking ISSN: 1940087X NLM ISO Abbreviation: J Vis Exp Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: [Boston, Mass. : MYJoVE Corporation, 2006]- |
| Ιατρικοί όροι (MeSH): | Agriculture*/methods , Digital Technology*/methods , Digital Technology*/instrumentation , Sustainable Development* , Internet of Things*, Agricultural Irrigation/methods ; Artificial Intelligence |
| Περίληψη: | The agro-food industry is quickly digitizing to solve resource restrictions, climate unpredictability, and sustainable food production using Internet of Things (IoT), Artificial intelligence (AI), cloud computing, and data analytics. Due to rigid irrigation schedules and limited field monitoring, traditional agriculture wastes water, reduces crop yield, and harms the environment. The IoT-Driven Precision Agriculture (IoT-PA) system in this paper optimizes agricultural resource use using distributed sensor networks, real-time soil moisture and weather monitoring, and intelligent irrigation control. The proposed platform gathers environmental data, analyses field conditions, and automatically recommends irrigation to maximize crop growth and avoid water waste. Farmers may make data-driven agricultural decisions with continuous monitoring and fast notifications from the framework. The IoT-PA architecture improves irrigation efficiency, agricultural yield, and sustainable resource management compared to traditional farming. Higher agricultural production and efficient water and resource use assist Sustainable Development Goal (SDG) 2 (Zero Hunger) and SDG 12 (Responsible Consumption and Production) of the United Nations Sustainable Development Goals. The suggested smart agricultural system is scalable and practicable, promoting sustainable food production and environmental conservation. |
| Entry Date(s): | Date Created: 20260826 Date Completed: 20260826 Latest Revision: 20260907 |
| Update Code: | 20260907 |
| DOI: | 10.3791/73067 |
| PMID: | 42644537 |
| Βάση Δεδομένων: | MEDLINE |
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