Modeling temporal genetic variability using mixed models improves yield stability and selection efficiency in <i>Coffea canephora</i>. [PDF]
Front Plant SciCampanharo A +6 more
europepmc +1 more source
DeepEMPR: coffee leaf disease detection with deep learning and enhanced multivariance product representation. [PDF]
PeerJ Comput SciTopal A, Tunga B, Tirkolaee EB.
europepmc +1 more source
Prediction of vegetation indices from down-sampled hyperspectral data using machine learning: A novel framework for olive crop monitoring. [PDF]
PLoS OneEstrada J +4 more
europepmc +1 more source
Genomic discrimination of the botanical groups conilon and robusta of Coffea canephora. [PDF]
Sci Repde Oliveira RG +6 more
europepmc +1 more source
Deep transfer learning with gravitational search algorithm for enhanced plant disease classification. [PDF]
HeliyonAl-Gaashani MSAM +6 more
europepmc +1 more source
An interpretable crop leaf disease and pest identification model based on prototypical part network and contrastive learning. [PDF]
Sci RepJia B, Zeng J, Zheng Z, Ge H, Song C.
europepmc +1 more source
Testing the Effects of Prey Type on the Life History and Population-Level Parameters of Chrysoperla externa (Neuroptera: Chrysopidae). [PDF]
InsectsBraghini A +8 more
europepmc +1 more source
Integration of LLMs and VLMs in plant stress phenotyping: From trait recognition to decision support. [PDF]
Plant PhenomicsMusazade E, Mrisho II, Gao J, Feng X.
europepmc +1 more source
Recent advances in plant disease detection: challenges and opportunities. [PDF]
Plant MethodsShafay M +6 more
europepmc +1 more source