Join us for a free Workshop on Machine Learning Assisted by Mechanistic Modeling!

🗓️ September 4th, 2025 | 🕗 8:45–16:00
📍 Venue: ZALF, Müncheberg | 💻 On-site
🎫 Free! Registration by 1st Sept 👇
🔗 https://www.zalf.de/de/aktuelles/Seiten/FPD/Workshop-on-Machine-Learning-Assisted-by-Mechanistic-Modeling.aspx

#MachineLearning #CropModeling #RemoteSensing #SoilScience #ZALF #Workshop

!!! NEW DATASET !!!

The Field Phenotyping Platform (FIP) 1.0 dataset is now available - a massive open dataset for winter #wheat research combining imaging, trait, environmental & genetic data!

📊 What's included:

- 4,000+ wheat plots across 6 years
- 153,000+ high-resolution aligned images
- 8 key traits: canopy cover, plant height, head counts, senescence, heading date, yield & protein content
- Genetic markers + environmental data
- Time-series format perfect for modeling

🎯 What it can be used for:

- #CropModeling & phenotyping method development
- Genotype-environment interaction studies
- Growth dynamics analysis
- #MachineLearning applications in agriculture
- Genomic prediction research

This comprehensive resource bridges #PlantScience and #AI communities, accelerating research in climate-adaptive agriculture 🌱

Open access paper: https://doi.org/10.1093/gigascience/giaf051

#OpenScience #Agriculture #DataScience #ClimateChange #CropImprovement #Phenotyping #OpenData

RT @DrSahila: New publication: How to develop cultivar-dependent parameters in crop models for newer cultivars. @anukrreddy @NebrWaterCenter @USDA #Cropmodeling #agriculture https://buff.ly/3AsA62R
Algorithm for estimating cultivar-specific parameters in crop models for newer crop cultivars

Model parameters in mechanistic process-based crop models are broadly classified into general parameters (environmental, management, and parameters re…

Meet our handling editor, Karine Chenu, with expertise in #crop simulations, #plant #physiology, #ecophysiology, #phenotyping, #drought stress, thermal conditions, and #grain crops. 🌽🌾🔬

#CropModeling