- Corn Grain Yield Prediction Using UAV|Based High Spatiotemporal ...🔍
- Corn Grain Yield Prediction Using UAV|based High Spatiotemporal ...🔍
- Using UAV|Based Multispectral Imagery🔍
- Grain Crop Yield Prediction Using Machine Learning Based on UAV ...🔍
- Multi|Stage Corn Yield Prediction Using High|Resolution UAV ...🔍
- Predicting grain yield of maize using a new multispectral|based ...🔍
- Comparison of different machine learning algorithms for predicting ...🔍
- Forecasting spring maize yield using vegetation indices and crop ...🔍
Corn Grain Yield Prediction Using UAV|based High Spatiotemporal ...
Corn Grain Yield Prediction Using UAV-Based High Spatiotemporal ...
The present work is a UAV imagery-based corn yield prediction study that analyzed the effects of image spatial and spectral resolution, image acquisition date, ...
Corn Grain Yield Prediction Using UAV-based High Spatiotemporal ...
The present work performed yield prediction regression experiments that analyzed the effects of image spatial resolution (satellite vs. UAV) on prediction ...
Corn Grain Yield Prediction Using UAV-based High Spatiotemporal ...
Yield precision maps, an application of precision agriculture, can be used by farmers to address these challenges by reducing input costs and optimizing yield.
Corn Grain Yield Prediction Using UAV-based High Spatiotemporal ...
UAV) on prediction results, compared and ranked the prediction power of 33 VIs (and 5 raw-bands) over the growing season, and explored the optimal image ...
Corn Grain Yield Prediction Using UAV-based High Spatiotemporal ...
Yield prediction regression experiments that analyzed the effects of image spatial resolution (satellite vs. UAV) on prediction results, compared and ranked ...
Corn Grain Yield Prediction Using UAV-Based High Spatiotemporal ...
A UAV imagery-based corn yield prediction study that analyzed the effects of image spatial and spectral resolution, image acquisition date, ...
Corn Grain Yield Prediction Using UAV-based High Spatiotemporal ...
Corn Grain Yield Prediction Using UAV-based High Spatiotemporal Resolution Multispectral Imagery ... To read the full-text of this research, you can request a ...
Using UAV-Based Multispectral Imagery, Data-Driven Models, and ...
Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield Prediction ... To read the full-text of this research ...
Grain Crop Yield Prediction Using Machine Learning Based on UAV ...
Preharvest crop yield estimation is crucial for achieving food security and managing crop growth. Unmanned aerial vehicles (UAVs) can quickly and accurately ...
Multi-Stage Corn Yield Prediction Using High-Resolution UAV ...
Agricultural practices such as soil fertility, irrigation, and crop man- agement are aimed at increasing crop yield to meet the demands of the ...
Predicting grain yield of maize using a new multispectral-based ...
A new volumetric vegetation index (MSCVI) was proposed for predicting maize grain yields. MSCVI built at reproductive growth stages were more correlated with ...
Comparison of different machine learning algorithms for predicting ...
Full spectra with Random Forest achieved highest accuracy for predicting maize yield. Abstract. Timely and accurately predicting maize grain yields will ...
Multi-Stage Corn Yield Prediction Using High-Resolution UAV ...
Timely and cost-effective crop yield prediction is vital in crop management decision-making. This study evaluates the efficacy of Unmanned Aerial Vehicle ...
Forecasting spring maize yield using vegetation indices and crop ...
The results reveal that the VIs extracted from UAV imagery had a high correlation with yield (R = 0.92), facilitating crop yield estimation.
Multi-source information fusion-driven corn yield prediction using the ...
The objective of this study is to promptly and accurately allocate resources, scientifically guide grain distribution, and enhance the ...
County-level corn yield prediction using supervised machine learning
Among various supervised ML algorithms, neural network, linear regression algorithms, RF and SVM are widely used in crop yield estimation studies (van ...
The reliability of the models was assessed based on the coefficient of determination (R2) with higher R2 indicating better reliability. 2.8.
Near real-time prediction of U.S. corn yields based on time-series ...
Corn grain yield prediction model with bias-error correction ... new-generation high-frequency observation satellite equipped with higher spatial resolution ...
Research of real-time corn yield monitoring system with DNN-based ...
The Internet of Things (IoT) has a high cost for deploying abundant sensors and equipment, resulting in complicated data processing. None of the ...
Aerial multispectral imagery for high-throughput mapping of spatial ...
Drone-based spectral imaging is a nondestructive approach for estimating corn grain yield efficiently prior to harvest.