March 09, 2020 article Open access Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest Environmental Research Letters DOI: 10.1088/1748-9326/ab7df9 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 242 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 Implementing artificial intelligence and machine learning algorithms for optimized crop management: a systematic review on data-driven approach to enhancing resource use and agricultural sustainability 2025 Cogent Food & Agriculture review Agricultural and Biological Sciences Smart Agriculture and AI Open access 27 citations A global geospatial analysis to evaluate the impact of biochar on maize yield 2024 Journal of Environmental Management article Agricultural and Biological Sciences Soil Carbon and Nitrogen Dynamics Open access 3 citations 2 results References 0