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Displaying 531 - 535 of 2258GHG Balance of Agricultural Intensification & Bioenergy Production in the Orinoquia Region, Colombia
Energy crop expansion can increase land demand and generate displacement of food crops, which impacts greenhouse gas (GHG) emissions mainly through land-use change (LUC). Increased agricultural productivity could compensate for this. Our study aims to evaluate the regional combined GHG emissions of increasing agricultural yields for food crop and beef production and using the generated surplus land for biomass production to replace fossil fuels in the Orinoquia region of Colombia until 2030.
Factors Influencing the Adoption of Agricultural Practices in Ghana’s Forest-Fringe Communities
Two-thirds of rural Ghanaians are farmers, and farming is almost the only income source for Ghana’s forest-fringe communities. Some farmers adopt some agricultural practices to augment their operations while others do not. We examined the factors that influence farmers’ adoption and intensity of adoption of agricultural practices, namely, chemical fertilizers, pesticides, herbicides, improved seeds, animal manure, and crop rotation.
The Case for Long-Term Land Leasing: A Review of the Empirical Literature
Land, as a factor of production, has a vital role within the agricultural sector compared with other sectors. However, in recent years, land mobility has become a significant issue around the world with increased concentration and competition for land ownership, limiting the overall competitiveness of the agri-food sector and constraining the potential opportunities for new entrant farmers to access land.
Mapping Rural Settlements from Landsat and Sentinel Time Series by Integrating Pixel- and Object-Based Methods
Rural settlements account for 45% of the world’s population and are targeted places for poverty eradication. However, compared to urban footprints, the distribution of rural settlements is not well characterized in most existing land use and land cover maps because of their patchy and scattered organization and relative stability over time. In this study, we proposed a pixel- and object-based method to map rural settlements by employing spectral-texture-temporal information from Landsat and Sentinel time series.
Predicting Shifts in Land Suitability for Maize Cultivation Worldwide Due to Climate Change: A Modeling Approach
Suitable land is an important prerequisite for crop cultivation and, given the prospect of climate change, it is essential to assess such suitability to minimize crop production risks and to ensure food security. Although a variety of methods to assess the suitability are available, a comprehensive, objective, and large-scale screening of environmental variables that influence the results—and therefore their accuracy—of these methods has rarely been explored.