Browsing by Author "Muhammad Bilal Hassan"

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    ANALYSIS OF INDUSTRIAL WASTE FOR THE IDENTIFICATION OF BENZOIC ACID
    (UMT.Lahore, 2016) Muhammad Bilal Hassan
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    Weed detection in crops using aerial vehicle and machine learning technique
    (UMT Lahore, 2020-09) Muhammad Bilal Hassan; Ehtisham Ahmed; Yahya Imran
    Agricultural technologies could increase crop yields. Agriculture is the largest sector, covering 47.03 percent of land area of Pakistan and almost 45 percent of workforce engaged with this sector. Improper management, use of old techniques and technology leads to decrease in yield. Weeds are unwanted plants that grow among the crops and fights for the same light, soil that is available for crops. Weeds growth among crops has great impact on yield. Proper monitoring and management of crops will help in improving crop productivity and efficient use of resources. The AI weed detecting drone is designed to be used for proper monitoring of weeds growth among the sesame crops, which will help in improving sesame crops health.