"Optimizing Location for Decision Making'
Maize harvesting in Dago village, Bar 'A' Sublocation
MEFOSEP is a food security program in Bar A sublocation in Kisumu County that monitors the community food production towards improving food and income security.
MEFOSEP utilizes WEBGIS AgriTEQ Smart technology to establish the agricultural production per household and assess its compliance to the WHO standards for balanced diet of 55-75% carbohydrates and the Kenya's expected annual average dietary energy consumption of 104 kg per person.
MEFOSEP estimated the annual demand for maize in Bar A sublocation to 609 325 kg equivalent to 6 770 bags based on the Kenya's expected average dietary demand per person and the total population of adults.
MEFOSEP conducted participatory baseline survey with farmers for needs assessment and established that the annual maize harvest is very low compared to the estimated huge energy demand. MEFOSEP conducted another participatory community farm resource assessment to establish the farming potential and the possible reasons for the low maize production.
MEFOSEP's mission is to establish food security information monitoring system by using mobile app that calculate farmers field acreage, the precise quantity of farm inputs, the required spacing, the expected harvest and update the information on the farm production dashboard.
MEFOSEP is collaborating with WEBGIS AgriTEQ to implement farming by satellite software to enable farmers use their mobile phones to download mobile App for farm management and crop monitoring.
The farmers use their mobile phones to map their fields, collect field data and to generate insights for data-driven decision making.
Farmers are empowered to drive value from their field data to achieve sustainability, resilience, productivity and profitability.
Bar 'A' sublocation is part of Nyahera location in Kisumu Central Sub-district, Kisumu County. It is made up of both rural and urban set up with majority of small holder farmers in rural areas
The land tenure in Bar A is a freehold and most families inherit the land from their parents. The settlement is basically rural with increasing rate of sub-urbanization.
The adult population is about 5, 835 and children below 6 years are about 1, 200. It has 7 villages including Osembe, Geta, Sidika, Bouye and Dago.
The annual relief rainfall ranges between 1200mm to 1300 mm. The temperature ranges between 20 to 35 Degrees Celsius. Humidity is relatively high throughout the year. The altitude ranges between 990m to 1470 m above sea level. Click to view Bar A Digital Map
According to spatial Analysis from Kenya WEBGIS Platform, the Bar 'A' has the following Agricultural potential.
Arable Land Coverage: The Arable land is estimated to be about 950 acres with most households practicing subsistence small scale farming in plot acreages below 2 acres.
Weather and Climate: The farmers rely on rainfall and simple traditional tools with zero mechanization. No soil fertility testing is carried out prior to planting, minimal irrigation and sustainable soil management practices.
Water Resources: Water resources comprise of river Kisyan and tributaries which empty into Lake Victoria. The soil moisture insight derived from Sentinel 2 satellite dated 31st May 2023 shows the highest NDMI range from 0.358 to 0.562 covering an area of 70.41 ha and the lowest NDMI range from -0.542 to -0.249 covering an area of about 0.08 ha.
General Vegetation Health: The vegetation health ranges from highest NDVI value of 0.729 to 0.905 in an area of about 651.67 ha while the lowest value ranges from 0.023 to 0.20 over an area of about 3.84 ha.
Tree Species and Forest Coverage: There area has no major forest, but the trees species suitable for the area include Mutere, Acacia, Bischof wood.
Soil Types: The area has clay soil that is well drained, deep and dark reddish. Most crops grown are Maize, beans, vegetables, potatoes and groundnuts.
Farmer Training on mapping, data collection, carbon farming, farm planning and satellite data.
Mapping of farmlands for In-Field farm management and crop monitoring.
Field data collection using field maps and updating of dashboard
Soil fertility testing and mapping for fertilizer recommendations
Updating of dashboard using field maps
Register farmers for crop health financing and insurance.
Monitoring and evaluation
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