Predicting wheat yield and grain quality with UAV multispectral imagery and deep learning. [PDF]
Billah MM +7 more
europepmc +1 more source
Variability in crop responses as a function of environment affects the NDVI relationship with grain yield in wheat. [PDF]
Paiboonvorachat C +6 more
europepmc +1 more source
UniTriRob: a robust machine learning regression model for predicting lettuce yields in aeroponic vertical farming. [PDF]
Rajendiran G +4 more
europepmc +1 more source
LSTM-attention-guided graph neural networks for integrated genotype-Environment modeling in maize yield prediction. [PDF]
Morshedian A, Domaratzki M.
europepmc +1 more source
Explainable machine learning reveals diverse yield-determining factors among Thai rice farmer cohorts: Implications for targeted agricultural support. [PDF]
Suriyalaksh M +5 more
europepmc +1 more source
WaveST-Yield: a novel spatio-temporal deep learning framework with frequency-domain refinement for UAV-based maize yield prediction. [PDF]
Li H +7 more
europepmc +1 more source
Maize yield prediction using machine learning: a systematic literature review. [PDF]
Nyengere J +14 more
europepmc +1 more source
Integrating Multi-Source and Multi-Temporal UAV Observations to Improve Wheat Yield Prediction Using Machine Learning. [PDF]
Chen C +10 more
europepmc +1 more source
Integrating hydrological simulation and paddy yield prediction using SWAT in the Bharathapuzha River basin of South India. [PDF]
Karunanidhi D +3 more
europepmc +1 more source
Soil function reshaping and crop yield driving mechanisms in saline-alkali soil under freezing saline water irrigation. [PDF]
Li J +6 more
europepmc +1 more source

