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Precision Agriculture In Hilly Regions: A Bibliometric Assessment Of Global Research Trends

Author

Listed:
  • Namsa Hang Limbu
  • Dr. Praveen Rizal
  • Dr. Niranjan Debnath

Abstract

Mountain farming sustains rural livelihoods but faces challenges from steep terrain, soil erosion, and climate change. Precision Agriculture (PA), using digital tools and remote sensing, offers solutions but remains underexplored in mountain contexts compared to large-scale flatland farming. This study presents a bibliometric analysis of PA research in hilly regions using Web of Science data time span of (2000–2025). The analysis carried out with 42,548 records appeared in search initially and 2111 paper globally on mountain and Precision agriculture has been considered for screening and 490 publications were reviewed and considered for the analysis, since the these were the only article fulfilling the study objective and direction. Results show steady growth peaking in 2021, with Ethiopia and China as leading contributors. Core journals such as Land Degradation & Development and Remote Sensing dominate the field. Keyword analysis reveals three clusters: environmental conservation, technological integration, and socio-economic adoption. However, gaps persist in cost–benefit assessments, adoption studies, and mountainspecific policy frameworks. Overall, PA shows strong potential for sustainable mountain farming, but greater focus on terrain-sensitive, smallholder-centered innovations is needed. To address this gap and to understand the dynamics of PA, the paper the present study conducts a bibliometric analysis of PA related to mountain farming drawing on Web of science data from 2000-2025.

Suggested Citation

  • Namsa Hang Limbu & Dr. Praveen Rizal & Dr. Niranjan Debnath, 2025. "Precision Agriculture In Hilly Regions: A Bibliometric Assessment Of Global Research Trends," International Journal of Agriculture and Environmental Research, Malwa International Journals Publication, vol. 11(6), December.
  • Handle: RePEc:ags:ijaeri:396332
    DOI: 10.22004/ag.econ.396332
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    References listed on IDEAS

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    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. Alessandro Matese & Salvatore Filippo Di Gennaro, 2018. "Practical Applications of a Multisensor UAV Platform Based on Multispectral, Thermal and RGB High Resolution Images in Precision Viticulture," Agriculture, MDPI, vol. 8(7), pages 1-13, July.
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