Harsh Pathak's repositories
pathakprecisionag.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
apsimx
R package for APSIM-X
Personalize-SAM
Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds
SegVeg
:fallen_leaf: Python module for Senescent Vegetation Image Segmentation based on XGBoost.
spatial_data_science_course
This repository contains course materials for Spatial Data Science
geospatial-data-catalogs
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, and STAC Index
upinderkaur22.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
ApsimX-1
ApsimX is the next generation of APSIM
PyCrop2ML
CropML Python library
Crop2ML
Repository for options to describe a model unit in a declarative way. Imperative representation will be specific for each modelling framework.
labelImg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
gedi_tutorials
GEDI L3 and L4 Tutorials
machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
ag-informatics-seminar
Purdue ABE591 Research & Practice in Ag Informatics, Spring 2022, course materials
api-client
Gro Intelligence API Client
daymetr
An R Interface to the Daymet Web Services
ag-informatics-course
Purdue ASM591 Intro to Ag Informatics, Fall 2021, full course materials
APssurgo
Get SSURGO data and convert into APSIM '.soil' format
crop-yield-predictor
A tool which is capable of making predictions of cereal and potato yields for districts of the Slovak Republic.
harsh-pathak-purdue
Config files for my GitHub profile.
earthnet-model-intercomparison-suite
Earthnet model
RiceSeedlingDataset
A repository to open rice seedling dataset.
crop_yield_prediction
Crop Yield Prediction with Deep Learning
CNN-RNN-Yield-Prediction
This repository contains codes for the paper entitled "A CNN-RNN Framework for Crop Yield Prediction"
SoilGrids250m
Global spatial predictions of soil properties and classes at 250 m resolution
computing-pipeline
Pipeline to Extract Plant Phenotypes from Reference Data