Effectiveness of convolutional neural network models in classifying agricultural threats

• 主要な著者: Rahman, Sayem, Monzur, Murtoza, Ahmad, Nor Bahiah
• フォーマット: 論文
• 出版事項: Springer Science and Business Media Deutschland GmbH 2021
• 主題: QA75 Electronic computers. Computer science
• オンライン･アクセス: http://eprints.utm.my/id/eprint/100254/; http://dx.doi.org/10.1007/978-3-030-70713-2_36

Smart farming has recently been gaining traction for more productive and effective farming. However, pests like monkeys and birds are always a potential threat for agricultural goods, primarily due to their nature of destroying and feeding on the crops. Traditional ways of deterring these threats ar...