Website hosted for the posts uploading a community for the farmers:
http://biancaa2004.pythonanywhere.com/
Datasets used for training:
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https://www.kaggle.com/datasets/meetnagadia/images-of-mango-leaves
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https://www.kaggle.com/datasets/aryashah2k/mango-leaf-disease-dataset
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https://www.kaggle.com/datasets/shravanatirtha/coconut-leaf-dataset-for-pest-identification
ONNX Model, Tensorflow lite model:
https://drive.google.com/drive/folders/1B1XEHrnEp75FmyDfWRUhraYk_XAHeJOG?usp=sharing
References used:
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compression of onnx: https://pypi.org/project/scs4onnx/
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flight controllers: https://robocraze.com/blogs/post/best-flight-controller-for-drone
Literature survey sources:
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https://agritimes.co.in/farm-equipment/indian-university-develops-cheapest-drone-for-farming-sector/
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https://library.scholarcy.com/try
References for future development:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9343827
//For camoflage --- Try with oled to display the image right back ... even if we minimize to 2 cameras its great
https://www.youtube.com/watch?v=8fbKZze_J4c
https://scholar.google.co.in/scholar?q=fruit+harvesting+drone&hl=en&as_sdt=0&as_vis=1&oi=scholart