CBSD affected cassava
examples of agricultural development domains

Intensive cultivation in Rwanda
relative production of cassava, GLCI countries

Tropical Agriculture

GIS is an important tool for for targeting in tropical agriculture. Plant varieties can be introduced and promoted in specific areas based on climate and soils, and also depending on population density, food demand and access to markets. A major part of Christopher Legg's work in African agriculture has been targeting, using the unique ability of GIS to combine multiple data sets in a quantitative fashion. This has ranged from regional studies, as an aid to agricultural development policy, to more local problems such as the need to target disease control efforts where they will have most impact.

GIS is also very useful in mapping and monitoring plant diseases. Time series of disease data can be combined with climate, crop production, transport routes, population density and other data in order to model and predict disease outbreaks, and thus target interventions to mitigate human impacts.This has been used with the Crop Crisis Control Project (C3P) and the Great Lakes Cassava Initiative (GLCI) in East Africa. Read this paper on the use of GIS in the C3P Project and this report on Food Security prepared for C3P

Christopher has worked on agricultural development projects in many countries of Sub-Saharan Africa with the International Institute for Tropical Agriculture (IITA), particularly Nigeria, Cameroon, Benin Republic, Congo, Rwanda, Burundi, Kenya, Uganda, Tanzania and Mozambique. Crops have included cassava, bananas, maize, groundnuts, cowpeas, cocoa and oilpalm.

He has also used and evaluated a series of global land-cover datasets derived from satellite imagery, most recently the GlobCover 2.3 maps derived from MERIS imagery, which he evaluated at the request of the International Food Policy Research Institute (IFPRI)

In 2012, he worked for IFPRI assisting in selection of target sites in Ethiopia, Tanzania and Ghana for the USAID Africa RISING agricultural development programme, visiting villages and using GIS to stratify target areas

In 2015, he developed a user-friendly GIS in QGis for CIP Malawi, including topographic, climatic and human parameters important to sweet potatoes, and the latest agricultural production statistics. CIP staff in Lilongwe were trained in the use of QGis, and the basic GIS was installed on multiple computers.