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2014 - 20162
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Subject: Computer Sciecne and Engineering × End date: 2017 × Type: Thesis × Thesis Type: M.Tech ×
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    ThesisItemOpen Access
    Development of mobile based agriculture scheduling system for farmers in regional language (Punjabi) using weather conditions
    (Punjab Agricultural University, Ludhiana, 2016) Navjot Kaur; Sawhney, B.K.
    In Indian agriculture, farming activities like sowing, harvesting and irrigation plays very important role in productivity. These activities must be performed in suitable manner and most importantly at appropriate time in order to get good yield. But sadly most of the farmers are unaware about the impact of these activities on yield of their crop. So application is developed to educate farmers about it. The developed software application is basically for dissemination of information to farmers about the proper way of performing various farming activities in regional language Punjabi, of two main crops of Punjab- wheat and paddy. This application will assists farmers in performing these activities in proper manner and help them in improving their productivity of crops. Based on date of sowing, farmers will get notifications about farming activities. Additional advice will be provided along with the notification on the basis of weather conditions. This system is an android based application developed in regional language Punjabi for overcoming lingual barrier of farmers. The application is developed using Android Studio which is the official Integrated Development Environment (IDE) for developing an Android application.
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    ThesisItemOpen Access
    Design and Development of Software for the Implementation of Image Processing Approach for Leaf Area Measurement
    (Punjab Agricultural University, Ludhiana, 2014) Gurjot Kaur; Salam Din
    Several commercial softwares are available for plant leaf area measurement. But no freeware is available for leaf area calculation. This study proposes a freeware for calculating the plant leaf area. It is hypothesized that if the error between the calculated leaf area and the actual leaf area is low then it could be used for agronomical research. Leaves of Brassica species, turmeric, soybean and wheat with different size and shape are selected for the study. The platform used for image processing and leaf area calculation is DOTNET framework at the front end and SQL server at the back end. A digital scanner is utilized to obtain leaf images. The user can browse the scanned image of a leaf in any image format and the freeware automatically convert it into web compatible image format. For color tonal distribution the histogram of images is computed. The colored image is converted into monochrome image by setting the threshold value in the color matrix. In image processing method leaf area is calculated through pixel number statistic. The results are compared with the results of Leaf Area Meter by Disha Infoway India Private Limited and concluded that the error rate between them is less than ∓2% for Brassica species, turmeric, soybean and wheat leaves.