This is the repository containing team OverFeat's submission to CVPPP 2020's Wheat Detection Challenge (2/2245)
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Updated
Feb 10, 2023 - Jupyter Notebook
This is the repository containing team OverFeat's submission to CVPPP 2020's Wheat Detection Challenge (2/2245)
AI Application that can predict the most suitable crops to grow in particular farm based on various parameters.
Diversity to a profitable harvest leveraging AI
A machine learning-based system recommending crops based on soil, climate, and environmental conditions to optimize agricultural yields.
Guava Disease Classification using DenseNet-Reloaded and ADOPT optimizer. Achieves 99.73% accuracy in Anthracnose, Fruit Fly, and Healthy Guava detection.
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