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Dynamic change and rating of triticeae crops waterlogging based on multimodal fusion and analysis of key phenotypic features

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Improving wheat yield prediction integrating proximal sensing and weather data with machine learning
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Measuring and predicting canopy nitrogen nutrition in wheat using a spectral index—The canopy chlorophyll content index (CCCI)
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LiDAR based biomass and crop nitrogen estimates for rapid, non-destructive assessment of wheat nitrogen status
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Advances in the study of waterlogging tolerance in plants
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Machine and deep learning for the prediction of nutrient deficiency in wheat leaf images
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A crop phenology detection method using time-series MODIS data
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Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
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Colour and shape analysis techniques for weed detection in cereal fields
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Crop growth estimation system using machine vision
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Relationships between Blue‐ and Red‐based Vegetation Indices and Leaf Area and Yield of Alfalfa
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Evaluating the Waterlogging Tolerance of Wheat Cultivars during the Early Growth Stage Using the Comprehensive Evaluation Value and Digital Image Analysis
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UAV- and Machine Learning-Based Retrieval of Wheat SPAD Values at the Overwintering Stage for Variety Screening
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The Generalized Difference Vegetation Index (GDVI) for Dryland Characterization
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