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Иш: A Novel Fusion Method for Soybean Yield Prediction Using Sentinel-2 and PlanetScope Imagery

Random Forests
Leo Breiman
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ABI
A soil-adjusted vegetation index (SAVI)
Alfredo Huete
Мақола198823 иқтибос
ABI
Red and photographic infrared linear combinations for monitoring vegetation
Compton J. Tucker
Мақола197919 иқтибос
ABI
Use of a green channel in remote sensing of global vegetation from EOS-MODIS
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ABI
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ABI
Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications
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A survey of deep neural network architectures and their applications
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Application of Vegetation Indices for Agricultural Crop Yield Prediction Using Neural Network Techniques
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Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans
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Importance of phenological observations and predictions in agriculture
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Combining PlanetScope and Sentinel-2 images with environmental data for improved wheat yield estimation
Nizom Farmonov, Khilola Amankulova, József Szatmári +4
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ABI
Crop Yield Prediction Using Deep Neural Networks
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Time-series analysis of Sentinel-2 satellite images for sunflower yield estimation
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A comparison of random forest regression and multiple linear regression for prediction in neuroscience
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SEN2-AGRI – CROP TYPE MAPPING PILOT STUDY USING SENTINEL-2 SATELLITE IMAGERY IN INDIA
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Spatial patterns of seed dispersal, their determinants and consequences for recruitment
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Use of Remote‐Sensing Imagery to Estimate Corn Grain Yield
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Studying the Feasibility of Assimilating Sentinel-2 and PlanetScope Imagery into the SAFY Crop Model to Predict Within-Field Wheat Yield
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Global estimation of crop productivity and the impacts of global warming by GIS and EPIC integration
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Post-processing methods to eliminate erroneous grain yield measurements: review and directions for future development
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Soybean yield prediction from UAV using multimodal data fusion and deep learning
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ABI