Wheat classification based on the provided dataset
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Updated
Apr 3, 2022 - Python
Wheat classification based on the provided dataset
WheatFspm is a Functional Structural Plant Model (FSPM) of wheat based on an innovative modelling framework for a better understanding of grass morphogenesis and C-N economy in interaction with environmental conditions.
Comprehensive database for diazotroph nitrogenases, alternative nitrogenases, and nitrogenase-like enzymes at the University of North Carolina at Charlotte (UNCC)
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Extension to the Crop Haplotypes website showing shared haplotypes between wheat genome assemblies. Enables mapping genomic regions of interest to the assemblies and calculate quality parameters such as alignment density or continuity
Main repo for the running/training on the dataset presented in 'High-fidelity Wheat Plant Reconstruction using 3D Gaussian Splatting and Neural Radiance Fields'
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Python library for simulation of wheat phenological development, crop growth and yield.
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🌾 EDA and several Clustering techniques applied on a real dataset of wheat kernels. 🍞
🌱 💧 🌾 SuperWheat plugin for CraftBukkit/Spigot
This is repository of my bachelor degree graduation work. Method was developed in purpose to upgrade accuracy and efficiency of wheat spikelets detection on images.
Dockerized Agave app for Polymarker, a SNP assay development pipeline
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