Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature

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Genome-wide association study and gene network analyses reveal potential candidate genes for high night temperature tolerance in rice

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The Delineation and Grading of Actual Crop Production Units in Modern Smallholder Areas Using RS Data and Mask R-CNN

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Detection of Chalk in Single Kernels of Long Grain Milled Rice Using Imaging and Visible/Near Infrared Instruments

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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

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Mask R-CNN

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Development of an expert vision-based system for inspecting rice quality indices

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Climate variability impacts on rice production in the Philippines

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Fully Convolutional Networks for Semantic Segmentation

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High day- and night-time temperatures affect grain growth dynamics in contrasting rice genotypes

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Evaluation of the SeedCounter, A Mobile Application for Grain Phenotyping

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Temperature thresholds for spikelet sterility and associated warming impacts for sub-tropical rice

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Post-flowering night respiration and altered sink activity account for high night temperature-induced grain yield and quality loss in rice (Oryza sativaL.)

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Machine Learning for High-Throughput Stress Phenotyping in Plants

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Evaluation and analysis the chalkiness of connected rice kernels based on image processing technology and support vector machine

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Neglecting Rice Milling Yield and Quality Underestimates Economic Losses from High-Temperature Stress

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Source-sink dynamics and proteomic reprogramming under elevated night temperature and their impact on rice yield and grain quality

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Extreme nighttime air temperatures in 2010 impact rice chalkiness and milling quality

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Morphological, Physical, and Chemical Properties of Grain and Flour from Chalky Rice Mutants

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