February 28, 2020 article Open access Predicting spatial and temporal variability in crop yields: an inter-comparison of machine learning, regression and process-based models Environmental Research Letters DOI: 10.1088/1748-9326/ab7b24 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 196 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Predictive drivers and transferability of multi-scale machine learning based crop yield prediction under drought across European and Asian climates 2026 Agricultural Water Management article Agricultural and Biological Sciences Climate change impacts on agriculture Open access 9 citations Optimizing Annual Crop Yield Predictions in Drought Impacted Regions 2025 SSRN Electronic Journal preprint Environmental Science Remote Sensing in Agriculture Open access 0 citations 2 results References 0