Decision support system for Lespedeza cuneata production and quality evaluation: a WebGIS dashboard approach to precision agriculture
Small-scale farmers in the southeastern United States face increasing challenges in sustaining forage production due to erratic rainfall, poor soils, and limited access to precision agricultural tools. These constraints demand site-specific solutions that integrate climate resilience with sustainabl...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2025.1520163/full |
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| author | Sudhanshu S. Panda Aftab Siddique Thomas H. Terrill Ajit K. Mahapatra Eric Morgan Andres A. Pech-Cervantes Jan A. van Wyk |
| author_facet | Sudhanshu S. Panda Aftab Siddique Thomas H. Terrill Ajit K. Mahapatra Eric Morgan Andres A. Pech-Cervantes Jan A. van Wyk |
| author_sort | Sudhanshu S. Panda |
| collection | DOAJ |
| description | Small-scale farmers in the southeastern United States face increasing challenges in sustaining forage production due to erratic rainfall, poor soils, and limited access to precision agricultural tools. These constraints demand site-specific solutions that integrate climate resilience with sustainable land use. This study introduces a pioneering Site-Specific Fodder Management Decision Support System (SSFM-DSS) designed to optimize the cultivation of Lespedeza cuneata (sericea lespedeza), a drought-tolerant, nitrogen-fixing legume well-suited for marginal lands. By integrating high-resolution geospatial technologies—Geographic Information Systems (GIS), Global Navigation Satellite Systems (GNSS), and remote sensing—with empirical field data and predictive modeling, we have developed an automated suitability framework for SL cultivation across Alabama, Georgia, and South Carolina. The model incorporates multi-criteria environmental parameters, including soil characteristics, topography, and climate variability, to generate spatially explicit recommendations. To translate these insights into actionable strategies, we also developed a farmer-focused WebGIS Dashboard that delivers real-time, location-based guidance for SL production. Our findings underscore the significant potential of SSFM-DSS to enhance fodder availability, improve system resilience under climate stress, and promote sustainable livestock production. This integrative approach offers a promising pathway for climate-smart agriculture, supporting broader food security objectives in vulnerable agroecosystems. |
| format | Article |
| id | doaj-art-608c08e9b0374b628b6cff66bfc2f828 |
| institution | Kabale University |
| issn | 1664-462X |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj-art-608c08e9b0374b628b6cff66bfc2f8282025-08-20T03:30:29ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2025-07-011610.3389/fpls.2025.15201631520163Decision support system for Lespedeza cuneata production and quality evaluation: a WebGIS dashboard approach to precision agricultureSudhanshu S. Panda0Aftab Siddique1Thomas H. Terrill2Ajit K. Mahapatra3Eric Morgan4Andres A. Pech-Cervantes5Jan A. van Wyk6Institute for Environmental Spatial Analysis, University of North Georgia, Oakwood, GA, United StatesDepartment of Agricultural Sciences, Fort Valley State University, Fort Valley, GA, United StatesDepartment of Agricultural Sciences, Fort Valley State University, Fort Valley, GA, United StatesDepartment of Agricultural Sciences, Fort Valley State University, Fort Valley, GA, United StatesInstitute for Global Food Security, Queen’s University, Belfast, United KingdomInternational Goat Research Center, College of Agriculture, Food and Natural Resources, Prairie View A&M University, Texas, TX, United StatesDepartment of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, South AfricaSmall-scale farmers in the southeastern United States face increasing challenges in sustaining forage production due to erratic rainfall, poor soils, and limited access to precision agricultural tools. These constraints demand site-specific solutions that integrate climate resilience with sustainable land use. This study introduces a pioneering Site-Specific Fodder Management Decision Support System (SSFM-DSS) designed to optimize the cultivation of Lespedeza cuneata (sericea lespedeza), a drought-tolerant, nitrogen-fixing legume well-suited for marginal lands. By integrating high-resolution geospatial technologies—Geographic Information Systems (GIS), Global Navigation Satellite Systems (GNSS), and remote sensing—with empirical field data and predictive modeling, we have developed an automated suitability framework for SL cultivation across Alabama, Georgia, and South Carolina. The model incorporates multi-criteria environmental parameters, including soil characteristics, topography, and climate variability, to generate spatially explicit recommendations. To translate these insights into actionable strategies, we also developed a farmer-focused WebGIS Dashboard that delivers real-time, location-based guidance for SL production. Our findings underscore the significant potential of SSFM-DSS to enhance fodder availability, improve system resilience under climate stress, and promote sustainable livestock production. This integrative approach offers a promising pathway for climate-smart agriculture, supporting broader food security objectives in vulnerable agroecosystems.https://www.frontiersin.org/articles/10.3389/fpls.2025.1520163/fullsite-specific fodder managementsericea lespedezageographic information systemsremote sensingprecision agriculture |
| spellingShingle | Sudhanshu S. Panda Aftab Siddique Thomas H. Terrill Ajit K. Mahapatra Eric Morgan Andres A. Pech-Cervantes Jan A. van Wyk Decision support system for Lespedeza cuneata production and quality evaluation: a WebGIS dashboard approach to precision agriculture Frontiers in Plant Science site-specific fodder management sericea lespedeza geographic information systems remote sensing precision agriculture |
| title | Decision support system for Lespedeza cuneata production and quality evaluation: a WebGIS dashboard approach to precision agriculture |
| title_full | Decision support system for Lespedeza cuneata production and quality evaluation: a WebGIS dashboard approach to precision agriculture |
| title_fullStr | Decision support system for Lespedeza cuneata production and quality evaluation: a WebGIS dashboard approach to precision agriculture |
| title_full_unstemmed | Decision support system for Lespedeza cuneata production and quality evaluation: a WebGIS dashboard approach to precision agriculture |
| title_short | Decision support system for Lespedeza cuneata production and quality evaluation: a WebGIS dashboard approach to precision agriculture |
| title_sort | decision support system for lespedeza cuneata production and quality evaluation a webgis dashboard approach to precision agriculture |
| topic | site-specific fodder management sericea lespedeza geographic information systems remote sensing precision agriculture |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2025.1520163/full |
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