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Deep Learning Models for Corn Kernel Counting and Yield Estimation

https://doi.org/10.2139/ssrn.5768641
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00122-021-03773-7openalex-snapshot
Beat the stress: breeding for climate resilience in maize for the tropical rainfed environments
inferredcites →https://doi.org/10.1007/s11042-022-13644-yopenalex-snapshot
Object detection using YOLO: challenges, architectural successors, datasets and applications
inferredcites →https://doi.org/10.1007/s12571-022-01288-7openalex-snapshot
Global maize production, consumption and trade: trends and R&D implications
inferredcites →https://doi.org/10.1007/s12652-021-03377-5openalex-snapshot
An accurate car counting in aerial images based on convolutional neural networks
inferredcites →https://doi.org/10.1007/s42106-021-00148-2openalex-snapshot
Corn (Zea mays L.) Growth, Yield and Nutritional Properties Affected by Fertilization Methods and Micronutrient Use
inferredcites →https://doi.org/10.1016/j.compag.2018.02.016openalex-snapshot
Deep learning in agriculture: A survey
inferredcites →https://doi.org/10.1016/j.knosys.2021.106874openalex-snapshot
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation
inferredcites →https://doi.org/10.1016/s0065-2113(08)60559-3openalex-snapshot
The Biological Yield and Harvest Index of Cereals as Agronomic and Plant Breeding Criteria
inferredcites →https://doi.org/10.1073/pnas.1716999115openalex-snapshot
An explainable deep machine vision framework for plant stress phenotyping
inferredcites →https://doi.org/10.1073/pnas.2113629119openalex-snapshot
Climate and agronomy, not genetics, underpin recent maize yield gains in favorable environments
inferredcites →https://doi.org/10.1093/jxb/erac103openalex-snapshot
Kernel weight contribution to yield genetic gain of maize: a global review and US case studies
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot
Feature Pyramid Networks for Object Detection
inferredcites →https://doi.org/10.1109/iccv.2017.322openalex-snapshot
Mask R-CNN
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1111/1477-9552.12362openalex-snapshot
Competitive Storage, Biofuels and the Corn Price
inferredcites →https://doi.org/10.1111/gcb.15002openalex-snapshot
Quantifying irrigation cooling benefits to maize yield in the US Midwest
inferredcites →https://doi.org/10.1139/cjss-2015-0134openalex-snapshot
Corn yield components response to nitrogen fertilizer as a function of soil texture
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.12692/ijb/3.3.65-69openalex-snapshot
Assessment of yield and yield components of corn (Zea mays L.) under two and three strip intercropping systems
inferredcites →https://doi.org/10.2134/agronj1979.00021962007100040014xopenalex-snapshot
Harvest Index of Corn Affected by Population Density, Maturity Rating, and Environment1
inferredcites →https://doi.org/10.3389/fpls.2022.1047268openalex-snapshot
Corn yield components can be stabilized via tillering in sub-optimal plant densities
inferredcites →https://doi.org/10.3390/cancers17193144openalex-snapshot
Utility of Same-Modality, Cross-Domain Transfer Learning for Malignant Bone Tumor Detection on Radiographs: A Multi-Faceted Performance Comparison with a Scratch-Trained Model
inferredcites →https://doi.org/10.3390/plants10061222openalex-snapshot
Dry Matter Gains in Maize Kernels Are Dependent on Their Nitrogen Accumulation Rates and Duration during Grain Filling
inferredcites →https://doi.org/10.3390/s20092721openalex-snapshot
Convolutional Neural Networks for Image-Based Corn Kernel Detection and Counting
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