Browsing by Author "MUHAMMAD SALMAN ZUBAIR"

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    Crop disease identification and solution recommendation drone
    (UMT Lahore, 2024-08-05) MUHAMMAD SALMAN ZUBAIR; ABDULREHMAN MALIK
    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 and use of old techniques and technology leads to a decrease in yield. Diseases among the crops can be the reason for wastage of water, light and soil that is available for crops. Diseases among crops have a great impact on yield. Proper monitoring and management of crops will help in improving crop productivity and efficient use of resources. The AI crop disease detecting drone is designed to be used for proper monitoring of diseases among the s crops, which will help in improving crops health. By using Convolutional Neural Network (CNN) in our drone, we will make sure to make it accurate with the help of training by giving this model a customized dataset.