| dc.contributor.author |
Ochola, WO |
en |
| dc.contributor.author |
Kerkides, P |
en |
| dc.date.accessioned |
2014-06-06T06:46:12Z |
|
| dc.date.available |
2014-06-06T06:46:12Z |
|
| dc.date.issued |
2004 |
en |
| dc.identifier.issn |
0168-1699 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/2836 |
|
| dc.subject |
decision support system |
en |
| dc.subject |
Kenya |
en |
| dc.subject |
land quality assessment |
en |
| dc.subject |
land quality indicator |
en |
| dc.subject |
sustainable land management |
en |
| dc.subject.classification |
Agriculture, Multidisciplinary |
en |
| dc.subject.classification |
Computer Science, Interdisciplinary Applications |
en |
| dc.subject.other |
COMPLEX AGROECOSYSTEMS |
en |
| dc.subject.other |
MANAGEMENT |
en |
| dc.subject.other |
REPRESENTATION |
en |
| dc.subject.other |
KNOWLEDGE |
en |
| dc.subject.other |
FRAMEWORK |
en |
| dc.subject.other |
ISSUES |
en |
| dc.subject.other |
SOIL |
en |
| dc.title |
An integrated indicator-based spatial decision support system for land quality assessment in Kenya |
en |
| heal.type |
journalArticle |
en |
| heal.language |
English |
en |
| heal.publicationDate |
2004 |
en |
| heal.abstract |
Sustainable land management can be achieved through the implementation of agricultural practices that are informed by in-depth knowledge of the processes occurring in farms and the larger landscape of which they are part. A prototype interactive spatial decision support system (SDSS) has been developed to assist land use scientists, agricultural extension support personnel and farmers to classify and characterise land quality, assess sustainable land management and identify potential land use solutions at the farm recommendation unit and resource management domain levels in Kenya. The system implements a generic land quality assessment framework that integrates farmer-led participatory sustainability assessment with specialist input into a multi-disciplinary perspective. The system was conceived in support of methodological studies to identify, evaluate and interpret indicators of land quality. It provides a platform for formulating indicators to describe biophysical, socio-cultural and economic processes in agro-ecosystems. It integrates modular assessment, database management sub-systems and geographical information system (GIS). It has been structured to include a project environment, land quality data acquisition control, assessment and output engine and land quality spatial analysis. The output includes visual land quality diagrams and interactive land quality and land attribute quality maps. In its present structure, it is robust and specific enough to encapsulate the major land quality assessment indicators, yet broad enough to allow flexibility for application in different parts of Kenya. (C) 2004 Elsevier B.V. All rights reserved. |
en |
| heal.publisher |
ELSEVIER SCI LTD |
en |
| heal.journalName |
COMPUTERS AND ELECTRONICS IN AGRICULTURE |
en |
| dc.identifier.issue |
1-3 |
en |
| dc.identifier.volume |
45 |
en |
| dc.identifier.isi |
ISI:000225758400001 |
en |
| dc.identifier.spage |
3 |
en |
| dc.identifier.epage |
26 |
en |