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Performance evaluation of the Bhakra Irrigation System, India, using remote sensing and GIS techniques
Describes the use of satellite remote sensing and GIs techniques to analyze the agricultural performance and sustainability of the Bhakra Irrigation System in India. Demonstrates the cost-effectiveness of these techniques as diagnostic tools for irrigation system improvement and the advantages of using SRS and GIs in combination.
Poverty mapping: Central Peruvian Amazon: Alternative poverty mapping method
Presentacion del atlas guatelmalteco de parientes silvestres de las plantas cultivadas
Press the button: online/offline mobile applications in an agricultural context
In many developing countries, smartphone and internet usage has become a revolution for the population and has opened up many possibilities to use new services for communication purposes. For researchers and development organizations, it is now possible to engage more directly with beneficiaries during the implementation phase of a project. However, many regions still face the problem of a non-existent or unreliable internet connection, which is why mobile applications have to be able to work offline as well as online.
Proceedings of the First International Symposium on Environment Management and Planning, Battaramulla, Sri Lanka, 23-24 February 2015
Proceedings of the National Conference on Managing Irrigation for Environmentally Sustainable Agriculture in Pakistan, Islamabad, Pakistan, 5-7 November 1996. Volume IV - papers on the theme, Environmental management of irrigated lands
Productos de tecnología agrícola para cambiarle la cara a Colombia
Proyecto CIAT laderas América Central: reportes de progreso 1997
Remote sensing and GIS based analysis of conjunctive water use in the Rechna Doab, Pakistan
Remote sensing and hydrologic models for performance assessment in Sirsa Irrigation Circle, India
Describes the results of an irrigation performance evaluation using remote sensing techniques, GIS procedures, and hydrologic modeling at a regional scale. Demonstrates how advanced information technologies support the analysis of irrigation performance by facilitating an in-depth study of a large irrigated area.