Developing a precision irrigation framework to facilitate smallholder dry-season farming in developing countries: A case study in northern Ghana
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Abstract
Changing climate has resulted in increasingly unreliable weather patterns with prolonged dry-seasons in some parts of Sub-Saharan Africa. Food production in these areas is under threat because the people depend mostly on rain-fed farming. Enabling dry-season farming, in light of the prolonged dry-seasons, is central to sustainable food production and poverty alleviation in these areas. Efficient water management is key to successful dry-season farming. Ideally, efficient irrigation water management should involve real-time monitoring of soil moisture (SM) to guide irrigation scheduling. However, farmers in these areas are mostly poor smallholder farmers without the financial capacity to instrument their farms for real-time SM monitoring. We present a precision irrigation framework (PIF) as a low-cost alternative to site-specific SM monitoring to guide irrigation scheduling. PIF applies machine leaning to integrate multi-scale ground-truth data and satellite imagery to create irrigation water management zones for an entire region. We demonstrate the strategy in the Pwalugu area in northern Ghana.
Study Area
Publication type | Conference Paper |
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Publication Subtype | Conference Paper |
Title | Developing a precision irrigation framework to facilitate smallholder dry-season farming in developing countries: A case study in northern Ghana |
DOI | 10.1190/segam2019-3216819.1 |
Year Published | 2019 |
Language | English |
Publisher | Society of Exploration Geophysicists |
Contributing office(s) | WMA - Earth System Processes Division |
Description | 5 p. |
Larger Work Type | Book |
Larger Work Subtype | Conference publication |
Larger Work Title | SEG Technical Program Expanded Abstracts 2019 |
First page | 4804 |
Last page | 4808 |
Country | Ghana |
Other Geospatial | Pwalugu Project Area |
Google Analytic Metrics | Metrics page |