Calorie-based seasonal multicrop land suitability analysis for regional food nutrition security in Bangladesh

Mostafiz, Rubaiya Binte; Noguchi, Ryozo; Ahamed, Tofael

doi:10.1007/s41685-021-00197-5

Cited by 7 publications

(5 citation statements)

References 81 publications

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“…Ji et al (2018) mapped the the spatial-temporal variability of vegetable production in China. Mostafiz et al (2021) applied a fuzzy membership method to map suitability of vegetables between different seasons in Bangladesh. Other studies had applied a top-down multi-criteria decision making to map suitability of vegetables without on-farm trial data (Mugo et al, 2016;Mostafiz et al, 2021;Rahmawaty et al, 2021;Yuniarti et al, 2022;Zakaria et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Mostafiz et al (2021) applied a fuzzy membership method to map suitability of vegetables between different seasons in Bangladesh. Other studies had applied a top-down multi-criteria decision making to map suitability of vegetables without on-farm trial data (Mugo et al, 2016;Mostafiz et al, 2021;Rahmawaty et al, 2021;Yuniarti et al, 2022;Zakaria et al, 2022). Although multiple agencies in Tanzania promote sustainable vegetable farming at scale, detailed maps on the suitability of improved cultivars and related improved agronomic practices are lacking.…”

Section: Introductionmentioning

confidence: 99%

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Sustainable intensification of smallholder farming systems in Sub-Saharan Africa and South Asia

2024

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sustainable intensification of smallholder farming systems in Sub-Saharan Africa and South Asia

2024

Frontiers Research Topics

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show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Extrapolation suitability index for sustainable vegetable cultivation in Babati district, Tanzania

Muthoni

Delore

Lukumay

et al. 2023

Front. Sustain. Food Syst.

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Land suitability assessment matches crop requirements with available resources to promote sustainable production. Scaling out of sustainable agricultural intensification practices to suitable biophysical and socio-economic conditions reduces the risk of failure and increases their adoption rate. This study applies a geospatial framework to identify potentially suitable sites for extrapolating two improved vegetable cultivars grown under integrated management practices (IMP's) in Babati District of Tanzania. On-farm trial data on the yield and income of two cultivars were used as a reference. Extrapolation was based on the gridded biophysical and socio-economic layers that limit the production of the two improved vegetable cultivars'. The extrapolation suitability index (ESI) showed the areas where cultivation of the two improved vegetable cultivars under IMP's can be scaled-out with a potentially low risk of failure. We generate maps of the most important limiting factor for each cultivar in every pixel to guide the spatial targeting of appropriate remedial measures. Application of these maps will promote evidence-based scaling out of improved vegetable technologies by the extension and development agencies.

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“…In the field of vulnerability and suitability assessment, the application of satellite remote sensing (RS) and geographical information systems (GIS) has gained considerable attention from researchers because of their effectiveness [16,17]. In this regard, the fuzzy-based MCDM approach has been used often for crop suitability assessments by many researchers because of its improved precision and effectiveness for both single crops and multiple crops, such as maize, tea, casava, rice and other cereal crops [18][19][20][21]. Multicriteria decisionmaking (MCDM) methods have also been applied for suitability assessments of industrial development in suburban areas of Bangladesh [22].…”

Section: Introductionmentioning

confidence: 99%

Climate-Adaptive Potential Crops Selection in Vulnerable Agricultural Lands Adjacent to the Jamuna River Basin of Bangladesh Using Remote Sensing and a Fuzzy Expert System

Alam

Ahamed

2023

Remote Sensing

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Agricultural crop production was affected worldwide due to the variability of weather causing floods or droughts. In climate change impacts, flood becomes the most devastating in deltaic regions due to the inundation of crops within a short period of time. Therefore, the aim of this study was to propose climate-adaptive crops that are suitable for the flood inundation in risk-prone areas of Bangladesh. The research area included two districts adjacent to the Jamuna River in Bangladesh, covering an area of 5489 km2, and these districts were classified as highly to moderately vulnerable due to inundation by flood water during the seasonal monsoon time. In this study, first, an inundation vulnerability map was prepared from the multicriteria analysis by applying a fuzzy expert system in the GIS environment using satellite remote sensing datasets. Among the analyzed area, 42.3% was found to be highly to moderately vulnerable, 42.1% was marginally vulnerable and 15.6% was not vulnerable to inundation. Second, the most vulnerable areas for flooding were identified from the previous major flood events and cropping practices based on the crop calendar. Based on the crop adaptation suitability analysis, two cash crops, sugarcane and jute, were recommended for cultivation during major flooding durations. Finally, a land suitability analysis was conducted through multicriteria analysis applying a fuzzy expert system. According to our analysis, 28.6% of the land was highly suitable, 27.9% was moderately suitable, 19.7% was marginally suitable and 23.6% of the land was not suitable for sugarcane and jute cultivation in the vulnerable areas. The inundation vulnerability and suitability analysis proposed two crops, sugarcane and jute, as potential candidates for climate-adaptive selection in risk-prone areas.

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Calorie-based seasonal multicrop land suitability analysis for regional food nutrition security in Bangladesh

Cited by 7 publications

References 81 publications

Sustainable intensification of smallholder farming systems in Sub-Saharan Africa and South Asia

Sustainable intensification of smallholder farming systems in Sub-Saharan Africa and South Asia

Extrapolation suitability index for sustainable vegetable cultivation in Babati district, Tanzania

Climate-Adaptive Potential Crops Selection in Vulnerable Agricultural Lands Adjacent to the Jamuna River Basin of Bangladesh Using Remote Sensing and a Fuzzy Expert System

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