NEW!
💧🌾 Sensor-based estimation of evapotranspiration and water use efficiency in Australian #wheat variety trials
by Javier A. Fernandez, Carla Gho, Daniel T. Smith, Pengcheng Hu, Bangyou Zheng, and Scott C. Chapman
https://doi.org/10.1093/insilicoplants/diag009 #PlantScience #drought #APSIM

🌾 Enhancing sorghum yield and risk management via optimizing #crop design
by Genevieve Durrington, Joseph Saddigh, Jason Brider, Graeme Hammer, Alex Wu
https://buff.ly/Ik0iT34 #PlantScience #APSIM

🌾 Characterizing #wheat and barley growth and phenology using multi-spectral remote sensing for site-specific precision agriculture
by Yan Zhao, Ruizhu Jiang, Jason Brider, Scott Chapman, Andries Potgieter
https://buff.ly/fcFKaBy #PlantScience #APSIM

🌾🌧️ A comparison of empirical and mechanistic #models for #wheat yield prediction at field level in Moroccan rainfed areas
by Achraf Mamassi, Marie Lang, Bernard Tychon, Mouanis Lahlou, Joost Wellens, Mohamed El Gharous, Helene Marrou
https://doi.org/10.1093/insilicoplants/diad020 #APSIM #PlantScience

💻🌾 Cropbox: a declarative #crop #modelling framework
https://doi.org/10.1093/insilicoplants/diac021 #APSIM #PlantScience

2 open scientist positions with Mitti labs in Bengaluru, India :
Crop Modeler - Climate & GHG Emissions
Machine Learning Engineer - Geospatial AI
https://apply.workable.com/mitti-labs/ #PlantSciJobs #DSSAT #APSIM

A new study using high-resolution S2 imagery to track key phenological stages of #wheat and #barley
https://doi.org/10.1093/insilicoplants/diaf013 #PlantScience #APSIM #RemoteSensing #phenology

🌾 🧬 Genotype-specific P- spline response surfaces assist interpretation of regional #wheat adaptation to climate change
https://doi.org/10.1093/insilicoplants/diab018 #model #PlantScience #APSIM

NEW!
🌾 Enhancing #sorghum #yield and risk management via optimizing crop design
by Genevieve Durrington, Joseph Saddigh, Jason Brider, Graeme Hammer, and Alex Wu
https://doi.org/pwnr #APSIM #model #PlantScience