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Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Subject "Plant pathology"

Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Subject "Plant pathology"

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  • Deep Learning for Detection of Mango Leaf Disease: A Comparative Study Using Convolutional Neural Networks Models 
    Rabbi, Munshi Omar Faruque (Daffodil International University, 2024-01-29)
    The diagnosis of diseases in mango leaves presents a complex challenge, compounded by the diversity of crop types, variability in agricultural disease indicators, and a multitude of environmental factors. Early detection ...
  • Detection of tomato leaves disease using CNN deep learning 
    Shalauddin, Md. (Daffodil International University, 2024-01-01)
    The output of tomatoes has increased in Bangladesh in the past few years. In addition to its nutritional benefits, tomato cultivation is important for the employment of many people. However, several illnesses that affect ...
  • Plant Leaf Disease Detection Using Deep Learning Algorithms 
    Labib, Raunak Muhtasim (Daffodil International University, 2024-01-01)
    In the agricultural landscape of Bangladesh, where farming plays a crucial role in the country's economy, the well-being of plants is vital for ensuring food security. The process of photosynthesis, occurring in the ...
  • Vegetable Diseases Detection Using Machine Learning 
    Bhuiya, Sumon; Hasan, Md. Mahmudul; Nahin, Faius Mojumdar (Daffodil International University, 2022-01-04)
    Our country cultivates to a great extent of leafy vegetable. Meanwhile a lot of amount goes to wastage responsible being the lack of care. This happens due to incapability in peaking up the right illness of plants, making ...

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