Degree
Master of Science in Computer Science
Department
Department of Computer Science
Faculty / School
Faculty of Computer Sciences (FCS)
Date of Submission
2020-12-15
Supervisor
Dr. Tariq Mahmood, Associate Professor, Faculty of Computer Science
Document type
MSCS Survey Report
Abstract
Smart agriculture is an emerging domain which makes use of IoT to monitor the crops, create alerts for pests, use enhances ways to irrigate and increase productivity. It helps owners to analyze the fields considering multiple factors such as; weather, light, temperature etc. A dashboard keeps track of time for irrigation, fertilization and monitor continuous growth of crops. Hence, this survey presents the frameworks and their evaluations contributed by others. The survey implements SLR methodology to filter the research articles and extract knowledge from them. Lastly it provides the findings and categories the contributions among four semi-supervised approaches.
Recommended Citation
Fatima, T. (2020). Semi-supervised learning in smart agriculture (Unpublished MSCS survey report). Institute of Business Administration, Pakistan. Retrieved from https://ir.iba.edu.pk/survey-reports-mscs/35
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