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Your Research Autopilot

Nice to meet you

AI for Phenology,
Phenology for AI.

Accelerating crop phenology research using advanced artificial intelligence and remote sensing technologies.

Integrating data, algorithms, and resources for crop phenology research.
Focus on your core research while PhenoNet handles complex data analysis.
User-friendly interface for data upload, analysis, and visualization.

Phenotypic Trait Exploration

PhenoNet
Two-stage deep learning network
Wheat Phenophase Classification

A two-stage deep learning network for wheat phenophase classification. It integrates local features and global context to provide accurate predictions across different environments.

PhenoSRNew
OSNet
SenNet

Open-Source Software

PhenoTools

Online/Self-hosting

Your data, your way

Analysis

Extracting phenotypic traits from RGB images

Extension

Training private model on self-constructed datasets

OpenAPI

Introducing PhenoNet in your way

Public Datasets

Last update: December 9, 2024

500,000+

Image Number

3

Vision Task

300 GB+

Total Size

500+

Variety

3

Year

3

Repetition