Harnessing artificial intelligence and remote sensing in climate-smart agriculture: the current strategies needed for enhancing global food security

Global food security is seriously threatened by climate change, which calls for creative agricultural solutions. However, little is known about how different smart technologies are integrated to enhance food security. As a strategic reaction to these difficulties, this review investigates the incorp...

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Main Author: Gideon Sadikiel Mmbando
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Cogent Food & Agriculture
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/23311932.2025.2454354
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author Gideon Sadikiel Mmbando
author_facet Gideon Sadikiel Mmbando
author_sort Gideon Sadikiel Mmbando
collection DOAJ
description Global food security is seriously threatened by climate change, which calls for creative agricultural solutions. However, little is known about how different smart technologies are integrated to enhance food security. As a strategic reaction to these difficulties, this review investigates the incorporation of remote sensing (RS) as well as artificial intelligence (AI) into climate-smart agriculture (CSA). This review demonstrates how these advances can improve agricultural resilience, productivity, and sustainability by utilizing AI’s capacity for predictive analytics, crop modelling, and precision agriculture, along with RS’s strengths in climate projections, land management, and continuous surveillance. Several important tactics were covered, such as combining AI and RS to regulate risks, maximize resource utilization, and enhance agricultural practice choices. The review also discusses issues like policy frameworks, capacity building, and accessibility that prevent these technologies from being widely adopted. This review highlights how AI and RS can further CSA and offers insights into how they can help ensure food systems remain secure in changing climates.
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spelling doaj-art-7f300b4a57aa463c96b61b62912ff90c2025-01-20T09:26:08ZengTaylor & Francis GroupCogent Food & Agriculture2331-19322025-12-0111110.1080/23311932.2025.2454354Harnessing artificial intelligence and remote sensing in climate-smart agriculture: the current strategies needed for enhancing global food securityGideon Sadikiel Mmbando0Department of Biology, College of Natural and Mathematical Sciences, University of Dodoma, Dodoma, TanzaniaGlobal food security is seriously threatened by climate change, which calls for creative agricultural solutions. However, little is known about how different smart technologies are integrated to enhance food security. As a strategic reaction to these difficulties, this review investigates the incorporation of remote sensing (RS) as well as artificial intelligence (AI) into climate-smart agriculture (CSA). This review demonstrates how these advances can improve agricultural resilience, productivity, and sustainability by utilizing AI’s capacity for predictive analytics, crop modelling, and precision agriculture, along with RS’s strengths in climate projections, land management, and continuous surveillance. Several important tactics were covered, such as combining AI and RS to regulate risks, maximize resource utilization, and enhance agricultural practice choices. The review also discusses issues like policy frameworks, capacity building, and accessibility that prevent these technologies from being widely adopted. This review highlights how AI and RS can further CSA and offers insights into how they can help ensure food systems remain secure in changing climates.https://www.tandfonline.com/doi/10.1080/23311932.2025.2454354Food securityclimate changeweather trendssoil conservationprecision agricultureAgriculture and environmental sciences
spellingShingle Gideon Sadikiel Mmbando
Harnessing artificial intelligence and remote sensing in climate-smart agriculture: the current strategies needed for enhancing global food security
Cogent Food & Agriculture
Food security
climate change
weather trends
soil conservation
precision agriculture
Agriculture and environmental sciences
title Harnessing artificial intelligence and remote sensing in climate-smart agriculture: the current strategies needed for enhancing global food security
title_full Harnessing artificial intelligence and remote sensing in climate-smart agriculture: the current strategies needed for enhancing global food security
title_fullStr Harnessing artificial intelligence and remote sensing in climate-smart agriculture: the current strategies needed for enhancing global food security
title_full_unstemmed Harnessing artificial intelligence and remote sensing in climate-smart agriculture: the current strategies needed for enhancing global food security
title_short Harnessing artificial intelligence and remote sensing in climate-smart agriculture: the current strategies needed for enhancing global food security
title_sort harnessing artificial intelligence and remote sensing in climate smart agriculture the current strategies needed for enhancing global food security
topic Food security
climate change
weather trends
soil conservation
precision agriculture
Agriculture and environmental sciences
url https://www.tandfonline.com/doi/10.1080/23311932.2025.2454354
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