[01] Samuel Jerry Odindo, Department of Health System Management, Faculty of Community Health and Development, Great Lakes University of Kisumu, Kisumu, Kenya. [02] Aaron Mwayi, Department of Health Promotion, Faculty of Community Health and Development, Great Lakes University of Kisumu, Kisumu, Kenya. [03] Dan Odhiambo Odindo, Department of Health System Management, Faculty of Community Health and Development, Great Lakes University of Kisumu, Kisumu, Kenya. [04] Winnie Otieno, Department of Environmental Health, Faculty of Community Health and Development, Great Lakes University of Kisumu, Kisumu, Kenya. [05] Caro Akinyi, Department of Research and Measurement, Faculty of Community Health and Development, Great Lakes University of Kisumu, Kisumu, Kenya. [06] Jeremie Nzanzu, Department of Research and Measurement, Faculty of Community Health and Development, Great Lakes University of Kisumu, Kisumu, Kenya.

This is a longitudinal research that monitored the same households for the second seasons and later on displays the information to the farmers on a noticeboard as a way of sensitizing them on good farm management practices. The indicators have been grouped into six variables which are arranged in a consequential order. These variables include land cultivation, irrigation, land value addition, crop protection, production and sales. The variable of production is our major concern in this MEFOSEP programme. Knowledge dissemination through noticeboard and training is used as an intervention put in place as independent variables to propel an increase on the four dependent variables which have a direct output to the resultant production. Key findings was analyzed and used to determine the role of the information on the notice board in increasing food production and also to determine the previous planned variables that are associated with production of food crops in ‘Bar A’ sub location, as a way of eradicating poverty and hunger in the sub location. Census was done for the 620 households. Frequency were run using SPSS and Chi square test to determine the associations of farm indicators, such as quantity of fertilizer and seeds application on the production of maize, beans, groundnuts and vegetables. Logistic regression analysis was used to determine the significant influence of the variables on the production of monitored food crops. Comparative analysis was used to test the null hypothesis on the statistic significant between first season and second season. The rates indicators used in the participatory planning, was used to set standard harvest indicators for each an every indicator. These standard harvest indicators formulated our discussion as we compare the findings with it together with the first season findings and the second season target plan.

Monitoring Food Security, Information Asymmetry, Food Production, Rate Indicators, Standard Harvest Indicators, Target Plan, Productivity Index Table

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