Title
cameroon_access_to_land
Abstract

This shapefile represents the status of land acquisition by borrowing in Cameroun. Over time, the International Institute for Tropical Agriculture (IITA) was confronted with the task of developing technologies for smallholder farmers .As a result a detailed research work was carried out on the characterization of African farming systems but with a close eye on IITA's mandate areas. The study was made to identify and describe in broad terms the principal agricultural systems of the whole of IITA's mandate areas in Burkina faso. And the working hypothesis for this research is the differences in the biophysical resource base inducing differences in constraints for two types of agricultural systems at the same level of agricultural intensification. This criterion is a precondition for a market-driven system. It was found out that about 60% of the IITA mandate area of West Africa was considered to have good land exchange through borrowing. It was further noticed that access to land by borrowing varied among the geographic regions and culture based on their agroecological zone they belong. Analysis show that access is better in the humid forest and gradually decreases northward .Data were collected both from literature reviews and interviews with key informants from national institutions. Only recent studies published within the five-year period before 1992 were considered from literature review. The RIS files were converted into shape files using IDRIS32.

Publication Date
Type
Vector Data
Category
Farming
rearing of animals and/or cultivation of plants. Examples: agriculture, irrigation, aquaculture, plantations, herding, pests and diseases affecting crops and livestock
Owner
More info
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Maintenance Frequency
Frequency Of Maintenance For The Data Is Not Known
Purpose

The purpose of this research was to maximize the impact of available technologies in improving conditions for the resource-poor population in sub-Saharan ...

Language
English
Supplemental Information

No information provided

Spatial Representation Type
vector data is used to represent geographic data
Attribute Name Label Description Range Average Median Standard Deviation
Rec_Num Rec_Num
Data_Value Data_Value
Class Class NA

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    egogo

    ICRAF