Results 111 to 120 of about 9,254 (166)

Efficient multi-task CNN framework for joint identification of soybean leaf diseases and pesticide presence with explainable AI. [PDF]

Sci Rep
Adugna FB, Desta EA, Hailu AA.
europepmc   +1 more source

Federated learning with dynamic weighted aggregation for multi-crop disease detection: a hybrid CNN-transformer approach. [PDF]

Front Artif Intell
Shashank R, Bhavadharini RM.
europepmc   +1 more source

Novel dual-input stream-based hybrid approach for wheat leaf disease classification using edge-aware features. [PDF]

Sci Rep
Razaq A, Ramzan S, Ali B, Raza A, Gu Y, Syafrudin M, Latif Fitriyani N.   +6 more
europepmc   +1 more source

VNIR Hyperspectral Signatures for Early Detection and Machine-Learning Classification of Wheat Diseases. [PDF]

Plants (Basel)
Ualiyeva RM, Kaverina MM, Osipova AV, Kairbayev YB, Zhangazin SB, Iksat NN, Mapitov NB.   +6 more
europepmc   +1 more source

Phenotypic and cultural diversity of zymoseptoria tritici causing septoria leaf blotch in Ethiopian wheat. [PDF]

Sci Rep
Mekuria BM, Alemu SK, Tarekegn ZT, Gurara MK, Woldesemayat AA.   +4 more
europepmc   +1 more source

Identification and validation of a major QTL on chromosome 2A for wheat-<i>Parastagonospora nodorum</i> interactions. [PDF]

Phytopathol Res
Li C, He X, Ma J, Singh PK.
europepmc   +1 more source

Fungal infections: Classification performance and detectability with machine learning models. [PDF]

Sci Rep
Jiang S, Al Said N, Yin X.
europepmc   +1 more source

Integrating host-pathogen interaction genomics to boost wheat defense against septoria tritici blotch. [PDF]

BMC Genomics
Domínguez-Rondón A, Tirado R, Solís I, Sánchez-Vallet A, Isidro Y Sánchez J.   +4 more
europepmc   +1 more source

CDPNet: a deformable ProtoPNet for interpretable wheat leaf disease identification. [PDF]

Front Plant Sci
Zeng J, Jia B, Song C, Ge H, Shi L, Kang B.   +5 more
europepmc   +1 more source

A Lightweight Real-Time Tomato Leaf Disease Detection System for Edge-Based Smart Agriculture. [PDF]

Sensors (Basel)
Zhao R, Deng F, Que H, Liu M, Yue X, Mu L.   +5 more
europepmc   +1 more source