THE DEVELOPMENT OF AN AGRO-METEOROLOGICAL MONITORING APPLICATION USING GEO-SPATIAL TECHNIQUES FOR PRECISION FARMING (CASE OF STUDY OF MAPS, TEMPERATURE AND HUMIDITY)
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.8, No. 5)Publication Date: 2019-05-30
Authors : Akerele F. O. Omotayo T. D.; Erejuwa A. A.;
Page : 60-75
Keywords : Agro-meteorological; Geo-spatial; Map; Temperature; Relative Humidity.;
Abstract
This thesis is based on Android software development process using Android studio (the Android application developed during the project) and the case study were maps, temperature and humidity. It focuses on the use of geospatial technologies in precision farming. To achieve this, the thesis focus on how geospatial data is collected, analyzed and used in the decision making process to maximize crop yields by the android software developed. In other to fetch geospatial data, an agro-meteorological monitoring application using geo-spatial techniques for precision farming was developed. This application was developed to get current weather information basically (temperature and relative humidity) based on the user's current location and for optimization.The application was tested in Federal Polytechnic Ado-Ekiti, Ekiti State, thereby giving the average weather condition of the State. Statistical tools such as ANOVA and graphs were used to analyse the data and they shows that the results were at variance and this may be due to the location of the Automatic weather station because some were sited around river, hill, snow, farm land e.t.c. The application developed serves as a decision support tool to the farmer or the user of the application to have the knowledge and idea in order to make wise decision on which crop to plant on the farm from the data obtained from the app developed for temperature and humidity. The growing of plant in a good weather environment is very important to crop for good harvest, because some crops need to be protected against unfavorable weather condition from time of sowing to harvest time.
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Last modified: 2019-05-18 21:09:57