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Browsing Project Report by Subject "Disease Detection"

Browsing Project Report by Subject "Disease Detection"

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  • Bangladeshi rice & tea leaf disease detection using machine learning 
    Rakib, Md. (Daffodil International University, 2024-01-22)
    Bangladesh's economy is based primarily on agriculture, with the production of tea and rice being essential to maintaining livelihoods and food security. The persistent risk of illnesses in rice and tea plants, however, ...
  • Plant leaf disease detection using deep learning algorithms 
    Labib, Raunak Muhtasim (Daffodil International University, 2024-01-25)
    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 ...
  • A Proposed Deep Learning Approach For Detecting Rice Leaf Disease 
    Bhuyan, Md Raju (Daffodil International University, 2024-01-29)
    Rice leaf diseases are a type of plant diseases affecting the leaves of rice crops, causing various kinds of crop damage. These diseases may have major financial effects, hurting both rice quality and production. Using ...
  • Rice Leaves Disease Detection by Using TensorFlow 
    Chowdhury, Tasnim Hasan (Daffodil International University, 2020-10-07)
    This research work focused on the automatic detection method for image analysis on rice leaves under a wide range of natural conditions for further analysis. In image processing, the syndrome is an essential part of ...
  • Skin disease classification using deep learning 
    Remel, Mahinoor Islam (Daffodil International University, 2024-01-24)
    This study presents an in-depth study of the development of Skin Disease Classification using Deep Learning. The dataset was carefully selected to ensure that it was representative of the skin Disease of various kinds: ...

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