Theses and Dissertations

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    Generating recommendatins for agricultural crop production
    (Dhirubhai Ambani Institute of Information and Communication Technology, 2012) Jain, Yash; Chaudhary, Sanjay
    Agricultural Productivity depends on large number of parameters such as climatic conditions, soil quality, socio-economic factors, cultural practices, cultivation factors, technological innovations etc. The change in climate has a significant impact on the crop production. Scientists all over the world are trying to model the change in climate and various parameters affecting it. A huge amount of spatial data is available regarding climatic conditions, agricultural productivity etc. The data is available at varying resolutions. Applications of spatial data analysis in generating the rec-ommendations for farmers is considered. We specifically consider for cotton crop in North Gujarat region. A recommendation system is developed which helps farmers in various stages of farming. An extensive knowledge base in the form of ontology is also developed to provide support for better reasoning. The future extensions of the work includes the development of web based interfaces and a service oriented architecture to access the system in a platform independent manner. The recommendations would typically help the farmers choose the appropriate fertilizers, pesticides, cultural methods etc.
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    ItemOpen Access
    Reducing climate vulnerabilities of cotton farmers in Banaskantha (North Gujarat)
    (Dhirubhai Ambani Institute of Information and Communication Technology, 2012) Sharma, Amita; Chaudhary, Sanjay
    The multiple regression models is used to analyze the effect of frequently changing weather, like wide uctuation in monsoon rains, extremes in temperature, etc. on the cotton crop in North Gujarat Region. The study is basically focused on Banaskantha district of North Gujarat using data from 1991-2008. This study is conducted in two parts: (i) rst part contains analysis on monthly rainfall with respect to cotton yield and (ii) second part contains analysis based on different weather parameters like total seasonal rainfall, average temperature in degree days, relative humidity, and soil moisture with respect to cotton yield. Results from the statistical analysis are veried by the information collected from expert agronomists on cotton regarding different growth stages and different requirements of cotton in those growth stages