Beans are an important crop for food and income generation in Swaziland. They do very well in the higher areas of the country although can be grown in all the regions. They are also the second legume to Swazi farmers after groundnuts in importance. Different farmers grow beans for different uses such as leaves, green beans or dry beans.
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Library ResourceDecember, 2011Eswatini, Southern Africa, Africa
Library ResourceJanuary, 2011Angola, Mozambique, Zambia, Lesotho, Zimbabwe, Namibia, Botswana, Eswatini, South Africa, Malawi, Sub-Saharan Africa
Current estimates of climate change state that the world’s average temperature is due to increase by at least 2oC to 2.4oC over the next 50?100 years. Furthermore it is expected that by the end of the century a range of additional impacts will be felt: sea levels will rise by an estimated 60cm, resulting in flooding and the salinisation of fresh water aquifers, and snow and ice cover will decrease. Simultaneously, precipitation patterns will change so that some areas will receive large increases whilst other areas will become hotter and drier.
Library ResourceJournal Articles & BooksJuly, 2011Eswatini
Food production in Swaziland follows a dualistic pattern of the land tenure system, namely; the Traditional Tenure System (TCT) and the Title Deed Tenure system (TDT). Land tenure plays a major role in the development and performance of the agricultural sector by influencing land ownership and its use. The Ministry of Agriculture has observed the differential in maize production among the TCT and TDT farmers. The purpose of this study was to empirically establish whether land tenure as an institution contributes to the observed maize productivity differentials among Swazi farmers.
Library ResourceJournal Articles & BooksDecember, 2011Eswatini
This article describes the use of a Bayesian network (BN) for the classification of land cover from satellite imagery in northern Swaziland. The main objective of this work was to apply and evaluate the efficacy of a BN for land-cover classification using gap-filled and terrain-corrected Landsat 7 Enhanced Thematic Mapper Plus (ETM+) imagery acquired on 15 May 2007. The posterior probabilities (parameters) were estimated using the expectation-maximization (EM) and conjugate gradient descent (CGD) algorithms.
Library ResourceJournal Articles & BooksDecember, 2011Switzerland, South Africa, Lesotho, China, Italy, Eswatini, Cuba, Tunisia, Argentina, Senegal, Netherlands, Europe, Asia, Africa, Northern America
The WOCAT-LADA-DESIRE mapping tool is based on the original WOCAT mapping questionnaire (WOCAT, 2007). It has been expanded to pay more attention to issues such as biological and water degradation, it also places more emphasis on direct and socio-economic causes of these phenomena, including their impacts on ecosystem services. It evaluates what type of land degradation is actually happening where and why and what is being done about it in terms of sustainable land management (SLM) in the form of a questionnaire.
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