Farmers’ Requirements in an Artificial Intelligent System for Diagnosis of Maize Diseases in Kenya
Date
2015Author
Nyang’anga, Hillary Thadias
Okelo, William O
Mugivane, Fred I
Demesi, J. Mande
Opande, George T
Type
ArticleLanguage
enMetadata
Show full item recordAbstract
A study was conducted to determine the following: commonly used sources of agricultural diagnostic
information by maize farmers, content of information which farmers would like to receive for full satisfaction on
diagnostics, formats and form farmers prefer to receive the information and ICT tools, channels and features
which farmers have high self- efficiency. These aspects were vital for developing of an artificial intelligent
system for agricultural diagnostics. The study was conducted in Uasin Gishu County, Kenya where population
targeted was maize farmers. A case study design was used in Uasin Gishu County.A case of maize diagnostics
formed the representative area and crop for farmers in Kenya. Ninety (90) farmers were interviewed,
Descriptive statistics was used to analyze data using SPSS version 16.
The study findings revealed that farmers gathered information mostly from extension officers, agro vet shops,
from themselves, from internet, radio, televisions and mobile phones. Farmers preferred to access full
information on pests and diseases regarding their scientific and common names, symptoms, management
options and prescription, and where to purchase the prescription.
It was therefore desirable to develop a system with a system manager to search, collect and input new diseases
and pests diagnostics information. Information on the disease diagnostics is to be included in the system
development. The final information content delivered by the system must be in a printable format and which
must be accessible to farmers through Webpage and internet based application using mobile phones and
computers as ICT tools.
Citation
IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS) e-ISSN: 2319-2380, p-ISSN: 2319-2372. Volume 8, Issue 10 Ver. II (Oct. 2015), PP 20-31Rights
Attribution-NonCommercial-NoDerivs 3.0 United StatesUsage Rights
http://creativecommons.org/licenses/by-nc-nd/3.0/us/Collections
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