Acquisition process of the Sunflower dataset using a custom-built
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rRMSE for plant density estimation for all methods crops, and stages.
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Genetic basis and dual adaptive role of floral pigmentation in sunflowers
Sunflower seeds classification based on sparse convolutional neural networks in multi-objective scene
Sunflower seeds classification based on sparse convolutional neural networks in multi-objective scene
A spatial dataset about short-term land system dynamics (2005–2015) in the Mediterranean basin - Data in Brief
Massive haplotypes underlie ecotypic differentiation in sunflowers
The Essential Guide to Data Augmentation in Deep Learning
PDF) Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images
A tripartite approach identifies the major sunflower seed albumins
Deep learning-based incoherent holographic camera enabling acquisition of real-world holograms for holographic streaming system
Example of the training dataset. (a) The original image X . (b) Line
Components of the modular agrochemical precision sprayer mounted on a
The precision-recall curve of the SSD-MobileNetV1 model on detecting
Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops, Plant Methods
