Pinned Repositories
2021_Nkwasa_etal_HESS
Scripts used to incorporate global phenology datasets into regional-global SWAT+ models
Artificial-Intelligence-in-Agriculture-Diseased-Leaf-Classification
AI is steadily emerging and making a significant impact in various sectors such as education, healthcare, transportation, finance, manufacturing, agriculture and many more. Agriculture Industry - the mainstay profession in numerous countries worldwide is also turning towards artificially intelligent technologies to enhance crop yield productivity while utilizing resources more sustainably, control pest infestations, monitoring soil and crop health, precision farming and predictive analytics.
awesome-neural-rendering
A collection of resources on neural rendering.
Context-Aware-Representation-Crop-Yield-Prediction
Code for ICDM 2020 paper Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis
Crop-Segmentation-and-Yield-Count-using-Graph-based-approach
With the given a set of images of the Arecanuts yield, count the number of Arecanuts available in each bunch and based on the count obtained from each bunch, estimate the total number of nuts available from the yield using efficient Graph Based approach.
crop-type-mapping
Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification
crop-type-mapping-1
Crop type mapping of small holder farms in Ghana, and South Sudan
Crop-Yield-Estimation-Model
Random forest regression yield estimation model with genetic algorithm-based feature selection.
Crop-Yield-Prediction-Comparison-using-ML-DL-Techniques
In this project, we compare and predict the yield of five crops (wheat, barley, jowar, rapeseed & mustard, and bajra) in Rajasthan (district-wise) using three machine learning techniques: random forest, lasso regression and SVM, and two deep learning techniques: gradient descent and RNN LSTM. To apply the models to our data, we divided it into training and testing datasets. Each model is tested twice: once with only "area" and "production" in mind, and then again with additional factors (rainfall and soil type) in mind to predict crop yield. To find the model that most accurately predicts the yield, R2 score, Root Mean Squared Error (RMSE) and Mean Average Error (MAE) are calculated for each model.
Salinas-dataset-Classification
This data set comes from Hyperspectral Remote Sensing Scenes
hulaba's Repositories
hulaba/BasicIRSTD
BasicIRSTD toolbox
hulaba/CogVLM
a state-of-the-art-level open visual language model | 多模态预训练模型
hulaba/DL4sSR
Benchmark for a paper submitted to Information Fusion
hulaba/Geo-SAM
A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.
hulaba/GLM-4
GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型
hulaba/hello-algo
《Hello 算法》:动画图解、一键运行的数据结构与算法教程,支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。
hulaba/IF_CALC
The repository contains the implementations for Coupled Adversarial Learning for Fusion Classification of Hyperspectral and LiDAR Data
hulaba/imgaug
Image augmentation for machine learning experiments.
hulaba/labelImg
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
hulaba/LRU-Net
hulaba/meteor
hulaba/MMST-ViT
PyTorch Implementation of MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer
hulaba/MSI-Net
hulaba/OverlapPredator
[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
hulaba/PLADE
PLADE: A Plane-based Descriptor for Point Cloud Registration with Small Overlap
hulaba/pywheat
Python library for simulation of wheat phenological development, crop growth and yield.
hulaba/RemoteCLIP
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
hulaba/sam-hq
This project showcases the deployment of the encoder and decoder model using ONNXRUNTIME in Python.
hulaba/SAM-Med2D
Official implementation of SAM-Med2D
hulaba/SC2-PCR
SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration (CVPR 2022)
hulaba/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
hulaba/segment-anything-2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
hulaba/segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
hulaba/sentinel2_crop_traits
Sentinel-2 Crop Trait Retrieval Using Physiological and Phenological Priors from Field Phenotyping (Graf et al., 2023, RSE)
hulaba/slam_in_autonomous_driving
《自动驾驶中的SLAM技术》对应开源代码
hulaba/smile
Statistical Machine Intelligence & Learning Engine
hulaba/transcripts
hulaba/unlock-hf
解锁HuggingFace生态的百般用法
hulaba/VPFBR-L
A 3D point cloud registration and localization method based on voxel plane features
hulaba/yolov5_obb