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Home >Foods and Raw Materials > Archive > Volume 14, Issue 2, 2026 > Precision agriculture as a viable means of enhancing sustainable agricultural production
ISSN 2308-4057 (Print),
ISSN 2310-9599 (Online)

Precision agriculture as a viable means of enhancing sustainable agricultural production

Simbo Diakite a
,
Nyasha J. Kavhiza a
,
Francess S. Saquee a
,
Elena N. Pakina a
,
Meisam Zargar a
,
Ousmane Diarra b,c
,
Prince E. Norman d
,
Brahima Traore b,c
,
Fasse Samake b,c
,
Cheickna Daou b
,
Amadou H. Babana c
Affiliation
a Institute of Agriculture, People’s Friendship University of Russia, Moscow, Russia
b Institute of Applied Sciences – ISA, Bamako, Mali
c University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
d Sierra Leone Agricultural Research Institute (SLARI), Freetown, Sierra Leone
Copyright ©Diakite et al. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0. (http://creativecommons.org/licenses/by/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material for any purpose, even commercially, provided the original work is properly cited and states its license.
Received 01 December, 2024 | Accepted in revised form 03 June, 2025 | Published 20 October, 2025
DOI: http://doi.org/10.21603/2308-4057-2026-2-680
Abstract
Effective management of finite resources in precision agriculture requires efficient technologies to generate reliable data about crops, pastures, soil, water sources, climate, pests, diseases, and other variables. These data enable farmers to make informed decisions to enhance efficiency and make their production more sustainable. This review aimed to assess the technological advances in precision agriculture in terms of their benefits, constraints, and potential for sustainable farming practices.
A total of 132 scientific papers were selected, analyzed, and discussed to explore the current status and the future of precision agriculture in relation to sustainable development. This review covers technologies utilized in planting, crop monitoring, resource management, decision support systems, and automation.
The application of artificial intelligence (AI)-driven technologies, including machine learning, computer vision, and sensor technologies, transforms traditional farming and contributes to resolving its limitations by providing farmers with real-time data and actionable insights. Ethical considerations, data security, and the digital divide are among the key challenges needing attention. Interdisciplinary collaboration is also needed to tackle complex issues associated with the sustainable implementation of advanced technologies, including AI in precision agriculture.
Precision agriculture technologies have a transformative impact on traditional farming. The integration of AI contributes to higher productivity and efficiency, as well as long-term sustainability of farming practices, ensuring food security for the growing population.
Keywords
Precision agriculture, sustainability, advanced techniques, production efficiency, technology adoptability
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How to quote?
Diakite S, Kavhiza NJ, Saquee FS, Pakina EN, Zargar M, et al. Precision agriculture as a viable means of enhancing sustainable agricultural production. Foods and Raw Materials. 2026;14(2):357–376. https://doi.org/10.21603/2308-4057-2026-2-680 
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