Land use management informed crops nutritional quality mapping

M-GEO
M-SE
ACQUAL
FORAGES
Staff Involved
M-SE Core knowledge areas
Spatial Information Science (SIS)
Technical Engineering (TE)
Additional Remarks

The topic is open for also suitable for GEM students in track 1 – GEM for Urban-Rural Interactions.

The topic is open for also suitable for GEM students in track 3 – GEM for Ecosystems & Natural Resources.

Suggested elective: Advanced Image Analysis

project image credit to Hotpot.ai using keywords: crop nutrition quality

Topic description

Sufficient nutrition remains a major challenge for rural households in the Sub-saharan region of Africa. Many rural households rely on cultivating traditional crops and food to maintain healthy and sufficient nutrition. However, in recent decades these smallholders have switched from subsistence styles to engaging in agricultural trade and growing cash crops. This shift causes land use history and management changes, such as crop rotation. However, how this change contributes to the micro-nutrition of crops and affects the micronutrition deficiencies of rural population in SSA remains unclear. Micronutrient deficiency is a form of malnutrition that can have a tremendous impact on the health and well-being of the affected population. It is more prevalent in rural areas where people have cereal-based diets.

Topic objectives and methodology

The MSc project will look at how land use management may affect the micro-nutrition of crops. Two approaches can be followed:

(1) Using the data collected the Gashu et al., 2021, we will add land use history information to assess the impact of changes in agricultural management practices upon the nutritional quality of crops. Land use changes will be identified using time-series satellite images.

(2) Building a spatially explicit local model, using the crop grains collected during field campaigns. The grains will be collected from different study areas so that the impact of various management practices on the nutritional quality of crops can be assessed. The model will use remote sensing, various environmental variables and information on crop nutrients as input.

References for further reading

Gashu, D., Nalivata, P.C., Amede, T., Ander, E.L., Bailey, E.H., Botoman, L., Chagumaira, C., Gameda, S., Haefele, S.M., Hailu, K., Joy, E.J.M., Kalimbira, A.A., Kumssa, D.B., Lark, R.M., Ligowe, I.S., McGrath, S.P., Milne, A.E., Mossa, A.W., Munthali, M., Towett, E.K., Walsh, M.G., Wilson, L., Young, S.D., & Broadley, M.R. (2021). The nutritional quality of cereals varies geospatially in Ethiopia and Malawi. Nature, 594, 71-76

How can topic be adapted to Spatial Engineering

Nutrition information will be provided to candidates.