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Nov, 2024
作物模式识别的机器学习方法比较分析
Machine Learning Approaches on Crop Pattern Recognition a Comparative Analysis
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Kazi Hasibul Kabir, Md. Zahiruddin Aqib, Sharmin Sultana, Shamim Akhter
TL;DR
本研究解决了农业监测中作物模式识别的效率问题，提出采用深度神经网络（DNN）进行分类，以提高识别性能，并与朴素贝叶斯和随机森林等其他机器学习方法进行比较。研究结果表明，DNN在作物模式识别方面表现更佳，具有显著的应用潜力，以增强农作物监测的准确性。
Abstract
Monitoring agricultural activities is important to ensure food security.
Remote Sensing
plays a significant role for large-scale continuous monitoring of cultivation activities. Time series
Remote Sensing
data we
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