Index for soybe

_soybean_
3D-ResNet-BiLSTM Model: A Deep Learning Model for County-Level soybean Yield Prediction with Time-Series Sentinel-1, Sentinel-2 Imagery, and Daymet Data
Ability of Sun-Induced Chlorophyll Fluorescence From OCO-2 and MODIS-EVI to Monitor Spatial Variations of soybean and Maize Yields in the Midwestern USA, The
Algorithm for soybean Classification Using Medium Resolution Satellite Images
Application of complex networks for automatic classification of damaging agents in soybean leaflets
Assessing the Variability of Corn and soybean Yields in Central Iowa Using High Spatiotemporal Resolution Multi-Satellite Imagery
Assessing within-Field Corn and soybean Yield Variability from WorldView-3, Planet, Sentinel-2, and Landsat 8 Satellite Imagery
Assessment of a Proximal Sensing-integrated Crop Model for Simulation of soybean Growth and Yield
Assessment of Canopy Chlorophyll Content Retrieval in Maize and soybean: Implications of Hysteresis on the Development of Generic Algorithms
Automated mapping of soybean and corn using phenology
Bridging the gap between crop breeding and GeoAI: soybean yield prediction from multispectral UAV images with transfer learning
Classification of soybean Genotypes Assessed Under Different Water Availability and at Different Phenological Stages Using Leaf-Based Hyperspectral Reflectance
Closing the Phenotyping Gap: High Resolution UAV Time Series for soybean Growth Analysis Provides Objective Data from Field Trials
DBN wavelet transform denoising method in soybean straw composition based on near-infrared rapid detection
Detecting Recent Crop Phenology Dynamics in Corn and soybean Cropping Systems of Kentucky
Developing a New Vegetation Index Using Cyan, Orange, and Near Infrared Bands to Analyze soybean Growth Dynamics
Differentiate soybean Response to Off-Target Dicamba Damage Based on UAV Imagery and Machine Learning
Dual-Frequency Retrieval of Soil Moisture from L- and S-Band Radar Data for Corn and soybean
Early Detection of Crop Injury from Glyphosate on soybean and Cotton Using Plant Leaf Hyperspectral Data
Early Detection of Dicamba and 2,4-D Herbicide Drifting Injuries on soybean with a New Spatial-Spectral Algorithm Based on LeafSpec, an Accurate Touch-Based Hyperspectral Leaf Scanner
Effects of Ambient Ozone on soybean Biophysical Variables and Mineral Nutrient Accumulation
Establishment of Plot-Yield Prediction Models in soybean Breeding Programs Using UAV-Based Hyperspectral Remote Sensing
Estimating Sub-Pixel soybean Fraction from Time-Series MODIS Data Using an Optimized Geographically Weighted Regression Model
Estimation and analysis of gross primary production of soybean under various management practices and drought conditions
Estimation of SOS and EOS for Midwestern US Corn and soybean Crops
Estimation of soybean Yield by Combining Maturity Group Information and Unmanned Aerial Vehicle Multi-Sensor Data Using Machine Learning
Estimation of the Maturity Date of soybean Breeding Lines Using UAV-Based Multispectral Imagery
Evaluating accuracy of DSSAT model for soybean yield estimation using satellite weather data
Evaluating Optical Remote Sensing Methods for Estimating Leaf Area Index for Corn and soybean
Evaluating the Impact of the 2020 Iowa Derecho on Corn and soybean Fields Using Synthetic Aperture Radar
Evaluating the Spectral Response and Yield of soybean Following Exposure to Sublethal Rates of 2,4-D and Dicamba at Vegetative and Reproductive Growth Stages
Evaluation of Ecosystem Water Use Efficiency Based on Coupled and Uncoupled Remote Sensing Products for Maize and soybean
Gated Recurrent Units (GRU)-Based Model for Early Detection of soybean Sudden Death Syndrome through Time-Series Satellite Imagery, A
Geostatistical Approach for Modeling soybean Crop Area and Yield Based on Census and Remote Sensing Data, A
Hierarchical Classification of soybean in the Brazilian Savanna Based on Harmonized Landsat Sentinel Data
High Throughput Phenotyping of Physiological Growth Dynamics From Uas-based 3d Modeling in soybean
High-Resolution soybean Yield Mapping Across the US Midwest Using Subfield Harvester Data
High-Throughput Phenotyping Analysis of Potted soybean Plants Using Colorized Depth Images Based on A Proximal Platform
High-Throughput Phenotyping of soybean Maturity Using Time Series UAV Imagery and Convolutional Neural Networks
Hyperspectral and Thermal Sensing of Stomatal Conductance, Transpiration, and Photosynthesis for soybean and Maize under Drought
Identification of the Initial Anthesis of soybean Varieties Based on UAV Multispectral Time-Series Images
Incorporating environmental variables into a MODIS-based crop yield estimation method for United States corn and soybeans through the use of a random forest regression algorithm
Leaf and Canopy Level Detection of Fusarium Virguliforme (Sudden Death Syndrome) in soybean
Machine Learning in the Classification of soybean Genotypes for Primary Macronutrients' Content Using UAV-Multispectral Sensor
Machine Learning Techniques to Predict soybean Plant Density Using UAV and Satellite-Based Remote Sensing
Mapping corn and soybean phenometrics at field scales over the United States Corn Belt by fusing time series of Landsat 8 and Sentinel-2 data with VIIRS data
Modeling Gross Primary Production of Midwestern US Maize and soybean Croplands with Satellite and Gridded Weather Data
Optimal soybean (Glycine max L.) Land Suitability Using GIS-Based Multicriteria Analysis and Sentinel-2 Multitemporal Images
Phenology-guided Bayesian-CNN (PB-CNN) framework for soybean yield estimation and uncertainty analysis, A
Predicting Days to Maturity, Plant Height, and Grain Yield in soybean: A Machine and Deep Learning Approach Using Multispectral Data
Predicting soybean Yield at the Regional Scale Using Remote Sensing and Climatic Data
Prediction of Areal soybean Lodging Using a Main Stem Elongation Model and a Soil-Adjusted Vegetation Index That Accounts for the Ratio of Vegetation Cover
Prediction of sweetness and amino acid content in soybean crops from hyperspectral imagery
Production Efficiency Model-Based Method for Satellite Estimates of Corn and soybean Yields in the Midwestern US, A
Quantifying Effects of Excess Water Stress at Early soybean Growth Stages Using Unmanned Aerial Systems
Random Forest Algorithm for Retrieving Canopy Chlorophyll Content of Wheat and soybean Trained with PROSAIL Simulations Using Adjusted Average Leaf Angle, A
Rating Iron Deficiency in soybean Using Image Processing and Decision-Tree Based Models
Retrieving soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models
Retrieving Surface Soil Moisture over Wheat and soybean Fields during Growing Season Using Modified Water Cloud Model from Radarsat-2 SAR Data
Semi-automatic leaf disease detection and classification system for soybean culture
soybean Crop Analysis, Beans, Production, Detection, Health, Change
soybean Crop Area Estimation And Mapping In Mato Grosso State, Brazil
soybean crop coverage estimation from NDVI images with different spatial resolution to evaluate yield variability in a plot
soybean Disease Monitoring with Leaf Reflectance
soybean EOS Spatiotemporal Characteristics and Their Climate Drivers in Global Major Regions
soybean seed composition prediction from standing crops using PlanetScope satellite imagery and machine learning
Spatiotemporal Derivation of Intermittent Ponding in a Maize-soybean Landscape from Planet Labs CubeSat Images
Three-Dimensional Reconstruction of soybean Canopies Using Multisource Imaging for Phenotyping Analysis
Toward Generic Models for Green LAI Estimation in Maize and soybean: Satellite Observations
Toward Multi-Stage Phenotyping of soybean with Multimodal UAV Sensor Data: A Comparison of Machine Learning Approaches for Leaf Area Index Estimation
Transfer Learning from Synthetic In-vitro soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pods
Transfer Learning from Synthetic In-vitro soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pods
Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine
Upscaling Gross Primary Production in Corn-soybean Rotation Systems in the Midwest
Using Artificial Neural Networks and Remotely Sensed Data to Evaluate the Relative Importance of Variables for Prediction of Within-Field Corn and soybean Yields
Using Canopy Measurements to Predict soybean Seed Yield
Using Hybrid Artificial Intelligence and Evolutionary Optimization Algorithms for Estimating soybean Yield and Fresh Biomass Using Hyperspectral Vegetation Indices
Using Visual Ozone Damage Scores and Spectroscopy to Quantify soybean Responses to Background Ozone
Vegetation Index Weighted Canopy Volume Model (CVMVI) for soybean biomass estimation from Unmanned Aerial System-based RGB imagery
Yield Prediction in soybean Crop Grown under Different Levels of Water Availability Using Reflectance Spectroscopy and Partial Least Squares Regression
79 for soybean

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Last update: 2-May-24 21:06:23
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