.png){kind=icon}
返回
A Multiple Instance Dictionary Learning Approach for Corn Yield Prediction From Remote Sensing Data
.png){kind=icon}
PRE
AI
DOI：10.1109/JSEN.2024.3488085.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Corn occupies a significant portion of American residents' diet. Therefore, accurate prediction of corn's annual yield in agricultural cultivation would greatly assist farmers in improving planting efficiency and has significant implications for agricultural resource management, market planning, food safety monitoring, and other related fields. To enhance the accuracy of corn yield prediction, this research utilized remote sensing satellite data and employed the multiple instance online dictionary learning (MIDL) method to predict county-level corn yield within 12 states in the Midwest region of U.S. MIDL combines multiple instance learning to retain detailed information within each county and dictionary learning (DL) to filter and eliminate potentially interfering mixed pixels' information in the prediction process. Experimental results demonstrate that MIDL achieved high prediction accuracy and exhibited excellent spatial generalization capabilities, outperforming all the compared methods. This study extensively analyzed the strengths and weaknesses of MIDL, confirming its promising potential, and identified directions for future improvements. Proposed MIDL method had the best performance for the six testing years 2016-2021, achieving an average $ \text {R}<^>{2} $ of 0.79.
Keyword:
Remote sensing
Machine learning
Dictionaries
Accuracy
Sensors
Codes
Predictive models
Optimization
Forecasting
Vectors
Corn yield prediction
dictionary learning (DL)
multiple instance learning
remote sensing sensors
期刊
IF:
4.5
论文数:
2.1W
被引数:
7.3W
机构
引用论文
.png){kind=icon}
Integrating climate and satellite remote sensing data for predicting county-level wheat yield in China using machine learning methods利用机器学习方法结合气候和卫星遥感数据预测中国县级小麦产量
OAAI
OAAI分享收藏Soybean yield prediction from UAV using multimodal data fusion and deep learning基于多模态数据融合和深度学习的无人机大豆产量预测OAAI
OAAI分享收藏A micromachined efficient parametric array loudspeaker with a wide radiation frequency band具有宽辐射频带的微机械高效参量阵列扬声器
PREAI
分享收藏Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazil基于卫星的大豆产量预测: 整合机器学习和天气数据，以改善巴西南部的作物产量预测
PREAI
分享收藏Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review精准农业中作物产量预测和氮素状态估计的机器学习方法: 综述
PREAI
分享收藏Multiple Instance Choquet Integral Classifier Fusion and Regression for Remote Sensing ApplicationsOAAI
OAAI分享收藏
查看更多内容