Description:
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 UseIf 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.
DataMaps and Crop Database was provided by Dr. Mike Teucher of Trier University Biogeography Department
Soil pH and nutrients retrieved from
ISRIC - World Soil InformationWeather rainfall patterns from 1999 - 2006 provided by Tropical Rainfall Measuring Mission (TRMM) downloaded from
TRMM - Tropical Rainfall Measuring MissionWeather rainfall patterns from 2007 - 2019 provided by SM2RAIN-ASCAT (2007-2019) global daily satellite rainfall downloaded from
SM2RAIN-ASCAT (2007-2019)References and CitationsJAETZOLD, 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 LinkHengl 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 LinkHuffman, 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 LinkBrocca, 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 LinkOther ResourcesCrop 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