Wheat yield prediction using integrated optical and radar remote sensing with machine learning across key phenological stages. [PDF]
Navidi MN +3 more
europepmc +1 more source
UAV multispectral sensing and data-driven modeling for precision onion yield prediction. [PDF]
Wayal SM +16 more
europepmc +1 more source
Predicting Multiple Traits of Rice and Cotton Across Varieties and Regions Using Multi-Source Data and a Meta-Hybrid Regression Ensemble. [PDF]
Qin Y +6 more
europepmc +1 more source
Artificial intelligence in plant science: from image-based phenotyping to yield and trait prediction. [PDF]
Wang T, Tong R, Xu T, Li Y, Chen Y.
europepmc +1 more source
Agentic AI-driven autonomous decision support system for smart agriculture. [PDF]
Swati NLP +3 more
europepmc +1 more source
Towards enhancing the performance of crop prediction system for precision agriculture using feature correlation square-based nearest neighbor classifier. [PDF]
Kindra K +2 more
europepmc +1 more source
Harvesting insights: interpretable machine learning to understand environmental drivers of U.S. maize and soybean yield. [PDF]
Smith HW +6 more
europepmc +1 more source
Machine learning for multi-omics data integration in crop improvement: a systematic review. [PDF]
Tsega A, Mullualem D.
europepmc +1 more source
An evaluation of machine learning for soil analysis in internet of things-enabled smart farming. [PDF]
Chaudhary P +5 more
europepmc +1 more source
MS-YieldStackNet: multi-source data fusion for wheat yield estimation using a stacked ensemble neural network. [PDF]
Ali W +5 more
europepmc +1 more source

