wheat

Characterization of 3D plant development for graminae crops

Main repo for the running/training on the dataset presented in 'High-fidelity Wheat Plant Reconstruction using 3D Gaussian Splatting and Neural Radiance Fields'

Wheat classification based on the provided dataset

Comprehensive database for diazotroph nitrogenases, alternative nitrogenases, and nitrogenase-like enzymes at the University of North Carolina at Charlotte (UNCC)

CNW-Grass is a Functional Structural Plant Model (FSPM) of grasses which fully integrates shoot morphogenesis, the metabolism of carbon (C) and nitrogen (N) and water fluxes at organ scale within a 3D representation of plant architecture.

Wheat Farming AI Disease Detection and Chatbot Support

Single Gene Analysis Tool

Model of wheat phenology of the crop growth simulation model SiriusQuality

WALTer is a 3D FSPM Wheat model

Open-source multilingual wheat spike-layer simulation modeler for Windows, macOS, and the web

For comparing the subgenomes of wheat

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

Python library for simulation of wheat phenological development, crop growth and yield.

Code for analysis of soils, crops, and nutrition along a distance-to-forest gradient in Ethiopia

BamburralViz is a project that focuses our efforts on democratizing access to automation of quality data on Brazilian caatinga flora for small rural producers

A Python Model to study Epidemic dilution and barrier factors in Mixture crops

Symptom-based crop disease predictor + agricultural analytics dashboard for wheat, cotton, and sugarcane. Built with Flask and Pandas, with a visual symptom library and yield/production trend charts. Lightweight - no camera, no image upload, works on low-bandwidth connections.

yolov5 object detection deep learning model is integrated into android application enabling user to detect and count wheat ear in real time.

🌾 EDA and several Clustering techniques applied on a real dataset of wheat kernels. 🍞