A novel integrated computational approach for agroecological similarity
Assessing agroecological similarity is crucial for shaping sustainable agricultural practices and resource allocation, especially in regions undergoing rapid environmental changes. Current evaluation methods face challenges such as managing large datasets, adjusting for temporal variations across lo...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/174963 |
| _version_ | 1855538976243318784 |
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| author | Tonle, Franck B.N. Tonnang, Henri E.Z. Ndadji, Milliam M.Z. Tchendji, Maurice T. Nzeukou, Armand Niassy, Saliou |
| author_browse | Ndadji, Milliam M.Z. Niassy, Saliou Nzeukou, Armand Tchendji, Maurice T. Tonle, Franck B.N. Tonnang, Henri E.Z. |
| author_facet | Tonle, Franck B.N. Tonnang, Henri E.Z. Ndadji, Milliam M.Z. Tchendji, Maurice T. Nzeukou, Armand Niassy, Saliou |
| author_sort | Tonle, Franck B.N. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Assessing agroecological similarity is crucial for shaping sustainable agricultural practices and resource allocation, especially in regions undergoing rapid environmental changes. Current evaluation methods face challenges such as managing large datasets, adjusting for temporal variations across locations, and the need for accessible, comprehensive analytical tools. Addressing these challenges, this paper presents the Agroecology Fourier-based Similarity Assessment (AFSA), an innovative computational approach that applies principles of the Fourier transform to systematically evaluate similarities among agroecological sites. To enhance usability, AFSA is complemented by webafsa, a user-friendly web application designed for researchers and policymakers, emphasizing ease of use and broad applicability. The implementation of AFSA and webafsa aims to improve land suitability assessments, enhance decision-making for resource allocation, and support better adaptation strategies for sustainable agriculture. By offering both a sophisticated computational methodology and an accessible decision-support tool, this study paves the way for more informed and environmentally considerate agricultural practices. |
| format | Journal Article |
| id | CGSpace174963 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1749632025-11-13T10:39:09Z A novel integrated computational approach for agroecological similarity Tonle, Franck B.N. Tonnang, Henri E.Z. Ndadji, Milliam M.Z. Tchendji, Maurice T. Nzeukou, Armand Niassy, Saliou climate change agroecology modelling land suitability decision-support systems-decision support tools Assessing agroecological similarity is crucial for shaping sustainable agricultural practices and resource allocation, especially in regions undergoing rapid environmental changes. Current evaluation methods face challenges such as managing large datasets, adjusting for temporal variations across locations, and the need for accessible, comprehensive analytical tools. Addressing these challenges, this paper presents the Agroecology Fourier-based Similarity Assessment (AFSA), an innovative computational approach that applies principles of the Fourier transform to systematically evaluate similarities among agroecological sites. To enhance usability, AFSA is complemented by webafsa, a user-friendly web application designed for researchers and policymakers, emphasizing ease of use and broad applicability. The implementation of AFSA and webafsa aims to improve land suitability assessments, enhance decision-making for resource allocation, and support better adaptation strategies for sustainable agriculture. By offering both a sophisticated computational methodology and an accessible decision-support tool, this study paves the way for more informed and environmentally considerate agricultural practices. 2025-06 2025-06-04T12:29:38Z 2025-06-04T12:29:38Z Journal Article https://hdl.handle.net/10568/174963 en Open Access application/pdf Elsevier Tonle, F.B.; Tonnang, H.E.; Ndadji, M.M.; Tchendji, M.T.; Nzeukou, A.; Niassy, S. (2025) A novel integrated computational approach for agroecological similarity. Environmental Modelling & Software 191: 106494. ISSN: 1364-8152 |
| spellingShingle | climate change agroecology modelling land suitability decision-support systems-decision support tools Tonle, Franck B.N. Tonnang, Henri E.Z. Ndadji, Milliam M.Z. Tchendji, Maurice T. Nzeukou, Armand Niassy, Saliou A novel integrated computational approach for agroecological similarity |
| title | A novel integrated computational approach for agroecological similarity |
| title_full | A novel integrated computational approach for agroecological similarity |
| title_fullStr | A novel integrated computational approach for agroecological similarity |
| title_full_unstemmed | A novel integrated computational approach for agroecological similarity |
| title_short | A novel integrated computational approach for agroecological similarity |
| title_sort | novel integrated computational approach for agroecological similarity |
| topic | climate change agroecology modelling land suitability decision-support systems-decision support tools |
| url | https://hdl.handle.net/10568/174963 |
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