Agricultural transformation is one of the important factors of rural planning and sustainable land management. There are natural and man-made reasons of this transformation, which brings both positive and negative impacts on the physical environment, food security, and human livelihoods. This study aims to explore a case of land use conversion from traditional agricultural land to the man-made wetland for fisheries in Rajshahi, Bangladesh. The conversion might be a result of purposeful land use and land cover changes to continue agricultural production for the market demands. A hybrid model of logistic regression and water index has been used to investigate the dynamics of LULC (Land Use Land Cover) changes. Moderate-resolution multi-temporal Landsat imageries of 2000, 2010, and 2020 have been used for visual interpretation and quantitative analysis. During the study period of 20 years, wetlands for entrepreneurial pond culture were remarkably increased, while agricultural land and vegetation experienced a decreasing trend. It is predicted that wetlands are going to be further increased by diminishing agricultural land and vegetation until 2030. Despite the fact of suitable data unavailability, this study also shows that the remote sensing approach provides a powerful tool for analysing and monitoring spatiotemporal agricultural transformation. Moreover, the empirical findings of land use modelling might be useful for agricultural planning and decision-making in rural Bangladesh.
In this paper, the authors describe the adaptation and validation of a project-level WEAI (or pro-WEAI) that agricultural development projects can use to identify key areas of women’s (and men’s) disempowerment, design appropriate strategies to address identified deficiencies, and monitor...
In this paper, introduction presents the problem statement. The second chapter gives a brief description of the Smart Farming system. The third chapter provides an overview of ontologies. The fourth chapter describes implementation of the knowledge base in the Smart...
Plants are susceptive to various diseases in their growing phases. Early detection of diseases in plants is one of themost challenging problems in agriculture. If the diseases are not identified in the early stages, then they may ad-versely affect the...
In creating a usable Information System (IS), the quality of information is crucial for making the right decisions. Although, many Information Quality (IQ) features have been identified in a broader context, only certain IQ features would become applicable for each...
Accurate and timely crop mapping is crucial for environment assessment, food security and agricultural production. However, for the areas with high landscape heterogeneity and frequent cloudy and rainy weather, the insufficient high-quality satellite images limit the accuracy of crop classification....
