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In-season cotton yield forecasting using high resolution satellite imagery
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Applications of Crop Modeling in Cotton Production
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Toward a new generation of agricultural system data, models, and knowledge products: State of agricultural systems science
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Cotton Yield Prediction Utilizing Unmanned Aerial Vehicles (Uav) and Bayesian Neural Networks
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In-season mapping of rice yield potential at jointing stage using Sentinel-2 images integrated with high-precision UAS data
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The yield potential of cotton (Gossypium hirsutum L.)
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Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data
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Framewise phoneme classification with bidirectional LSTM and other neural network architectures
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A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data
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The role of LAI and leaf chlorophyll on NDVI estimated by UAV in grapevine canopies
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Growth analysis of cotton using UAS derived multi temporal canopy features
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Global cotton yield trends and the driving factors: insights from a spatiotemporal analysis
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Cotton market contagion: analyzing volatility spillovers across borders
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Weather Hazards Analysis for small UASs Durability Enhancement
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Satellite remote sensing for applied ecologists: opportunities and challenges
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Unmanned aircraft system-derived crop height and normalized difference vegetation index metrics for sorghum yield and aphid stress assessment
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Are Transformers Effective for Time Series Forecasting?
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Quantifying Temperature Effects on Cotton Reproductive Efficiency and Fiber Quality
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The Effect of Higher Temperatures on Cotton Lint Yield Production and Fiber Quality
inferredcites →https://doi.org/10.3389/fpls.2022.1048479openalex-snapshot
Integrating environmental and satellite data to estimate county-level cotton yield in Xinjiang Province
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Feasibility of PlanetScope SuperDove constellation for water quality monitoring of inland and coastal waters
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Normalized Difference Vegetation Index (NDVI) for soybean biomass and nutrient uptake estimation in response to production systems and fertilization strategies
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Performance of Vegetation Indices to Estimate Green Biomass Accumulation in Common Bean
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Crop Monitoring Strategy Based on Remote Sensing Data (Sentinel-2 and Planet), Study Case in a Rice Field after Applying Glycinebetaine
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Evaluation of the U.S. Peanut Germplasm Mini-Core Collection in the Virginia-Carolina Region Using Traditional and New High-Throughput Methods
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Using Remote Sensing Vegetation Indices for the Discrimination and Monitoring of Agricultural Crops: A Critical Review
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Progress in Research on Deep Learning-Based Crop Yield Prediction
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Advances in UAV Remote Sensing for Monitoring Crop Water and Nutrient Status: Modeling Methods, Influencing Factors, and Challenges
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Predicting Wheat Yield at the Field Scale by Combining High-Resolution Sentinel-2 Satellite Imagery and Crop Modelling
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Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping
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Estimating the Applicability of NDVI and SIF to Gross Primary Productivity and Grain-Yield Monitoring in China
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An Interpretable Wheat Yield Estimation Model Using Time Series Remote Sensing Data and Considering Meteorological and Soil Influences
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Integrating Remote Sensing and Soil Features for Enhanced Machine Learning-Based Corn Yield Prediction in the Southern US
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