Learning Resources
Plant Phenotyping
- PlantCV — Python toolkit for plant image analysis
- Fiji (ImageJ) — Open-source image processing platform with rich plugins
- Open3D — Point cloud/mesh processing and visualization library
- OpenMV — Convenient embedded machine vision platform
Plant Modeling
- OpenSimRoot — Functional–structural root model and simulation
- BioCro — Crop growth and physiology model in R
- OpenAlea — Plant modeling and structure generation platform
- Three.js — WebGL 3D visualization and interaction
AI Agent
- LangChain — LLM engineering framework with tool/agent orchestration
- LlamaIndex — Data connectors and retrieval-augmented pipelines for agent apps
- Microsoft AutoGen — Multi-agent collaborative execution framework
- Transformers — Library for pretrained models, fine-tuning and inference
UAV Remote Sensing
- OpenDroneMap — Open-source photogrammetry suite for orthomosaics and point clouds
- QGIS — Open-source GIS platform for spatial analysis and visualization
- GDAL — Geospatial raster/vector data processing library
- Agisoft Metashape — Commercial photogrammetry software with strong accuracy and usability
- Pix4D — Commercial surveying and modeling solutions
Data Access
- USGS EarthExplorer — Search and download satellite imagery (e.g., Landsat)
- NASA LP DAAC — MODIS/VIIRS land-process datasets
- Copernicus Data Space Ecosystem — Access to Sentinel missions
Crop Photosynthesis & Crop Models
- Photosynthesis Research — Journal on mechanisms to canopy-scale modeling
- Plant Phenomics (AAAS) — High-throughput phenotyping, 3D reconstruction, sensors & AI
- DSSAT — Integrated crop simulation (growth, photosynthesis, water–nutrient, yield)
- APSIM — Agro-ecosystem modeling for crop–soil–climate coupling
UAV & Remote Sensing Platforms
- NASA Earthdata — MODIS, Landsat, SMAP, SIF, ET and more key datasets
- Google Earth Engine — Cloud-scale time-series monitoring and analysis
- DJI Terra — Photogrammetry and 3D reconstruction for field plots
3D Reconstruction & Point Cloud
- Agisoft Metashape — Industry-standard photogrammetry for plants/canopies
- CloudCompare — Registration, slicing, segmentation, normals and metrics
- Open3D — Open-source point cloud framework for research
AI & Machine Learning
- Papers with Code — Track SOTA algorithms and datasets
- Hugging Face — Models for CV, multimodal and LLM deployment
- PyTorch — Mainstream deep learning framework for segmentation & inversion
Image Processing & Scientific Computing
Academic Search & Literature
- Google Scholar — Academic search with citation tracking
- Web of Science — Bibliometrics, impact factors and evaluation
Scientific Plotting & Visualization
- Origin — Classic plotting for agriculture, biology and environment
- GraphPad Prism — Biostatistics and experimental visualization
Open Source & Research Code
- GitHub — Code hosting for algorithms, web apps and tools
About This Page
This resources page curates materials for the following research directions:
- Digital crop photosynthetic phenotyping
- Canopy light distribution and photosynthesis process modeling
- Multi-view 3D reconstruction and point-cloud phenotyping
- UAV remote sensing and multi-source data fusion
- AI-driven intelligent crop phenomics analysis