Kenya Crops and Fertilizer App

Find the right crop for the right place

Welcome to Kenya and Fertilizer Map Application

This app will enable you to identify the right crop for the right place. It gives information on Agroecological zones, average seasonal rainfall, crop varieties and types, general soil information, predicted soil pH and soil nutrient necessary for crop growth. It is based on Farm Management Handbook of Kenya

How to Use

If you want to know the right crop for a particular geographic location, then you can input place on the search bar or tap on the map or if you have GPS enabled on your phone, then you can tap on the My Place blue icon at the bottom right corner.

Data

Maps and Crop Database was provided by Dr. Mike Teucher of Trier University Biogeography Department

Soil pH and nutrients retrieved from ISRIC - World Soil Information

Weather rainfall patterns from 1999 - 2006 provided by Tropical Rainfall Measuring Mission (TRMM) downloaded from TRMM - Tropical Rainfall Measuring Mission

Weather rainfall patterns from 2007 - 2019 provided by SM2RAIN-ASCAT (2007-2019) global daily satellite rainfall downloaded from SM2RAIN-ASCAT (2007-2019)

References and Citations

JAETZOLD, R., HORNETZ, B., SHISANYA, C.A. & SCHMIDT, H. (Eds., 2005- 2012): Farm Management Handbook of Kenya.- Vol. I-IV (Western, Central, Eastern, Nyanza, Southern Rift Valley, Northern Rift Valley, Coast), Nairobi

Hengl, T., Leenaars, J.G.B., Shepherd, K.D. et al. Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning .Nutr Cycl Agroecosyst (2017) 109: 77. Paper Link

Hengl T, Mendes de Jesus J, Heuvelink GBM, Ruiperez Gonzalez M, Kilibarda M, et al. (2017) SoilGrids250m: Global gridded soil information based on machine learning. PLOS ONE 12(2): e0169748. Paper Link

Huffman, G.J., Adler, R.F., Bolvin, D.T., Gu, G., Nelkin, E.J., Bowman, K.P., Hong, Y., Stocker, E.F. and Wolff, D.B., 2007, The TRMM Multisatellite Precipitation Analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. Journal of Hydrometeorology, 8, pp. 38–55.Paper Link

Brocca, L., Filippucci, P., Hahn, S., Ciabatta, L., Massari, C., Camici, S., Schüller, L., Bojkov, B., Wagner, W. (2019). SM2RAIN–ASCAT (2007–2018): global daily satellite rainfall data from ASCAT soil moisture observations. Earth Syst. Sci. Data, 11, 1583–1601 Paper Link

Other Resources

Crop pictures used in the app have been download from Wikipedia Creative Commons

Icons used have been made by Roundicons Licensed under CC 3.0 BY