SMARD: A Cost Effective Smart Agro Development Technology for Crops Disease Classification
<|reference_start|>SMARD: A Cost Effective Smart Agro Development Technology for Crops Disease Classification: Agriculture has a significant role in a country's economy. The "SMARD" project aims to strengthen the country's agricultural sector by giving farmers with the information and tools they need to solve common difficulties and increase productivity. The project provides farmers with information on crop care, seed selection, and disease management best practices, as well as access to tools for recognizing and treating crop diseases. Farmers can also contact the expert panel through text message, voice call, or video call to purchase fertilizer, seeds, and pesticides at low prices, as well as secure bank loans. The project's goal is to empower farmers and rural communities by providing them with the resources they need to increase crop yields. Additionally, the "SMARD" will not only help farmers and rural communities live better lives, but it will also have a good effect on the economy of the nation. Farmers are now able to recognize plant illnesses more quickly because of the application of machine learning techniques based on image processing categorization. Our experiments' results show that our system "SMARD" outperforms the cutting-edge web applications by attaining 97.3% classification accuracy and 96% F1-score in crop disease classification. Overall, our project is an important endeavor for the nation's agricultural sector because its main goal is to give farmers the information, resources, and tools they need to increase crop yields, improve economic outcomes, and improve livelihoods.<|reference_end|>
@article{debnath2024smard:,
    title={SMARD: A Cost Effective Smart Agro Development Technology for Crops
  Disease Classification},
    author={Tanoy Debnath, Shadman Wadith, and Anichur Rahman},
    journal={arXiv preprint arXiv:2405.10543},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.10543},
    primaryClass={cs.CR}
}