Results 91 to 100 of about 1,238 (175)

DeepGreen: a real-time deep learning system for smart agriculture monitoring. [PDF]

Sci Rep
Rathor AS, Choudhury S, Sharma A, Pachauri RK, Shah G, Fatema N, Malik H, Sharma VS, Kumar S.   +8 more
europepmc   +1 more source

LeafDet: A lightweight and interpretable deep learning framework for tomato leaf disease detection. [PDF]

PLoS One
Mostafa V, Sozol MSS, Mondal MRH.
europepmc   +1 more source

Optimised MobileNet for very lightweight and accurate plant leaf disease detection. [PDF]

Sci Rep
Ugwah VN, Abolghasemi V.
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

Epidemiology and assessment of importance of septoria leaf spot

Proceedings of the New Zealand Weed and Pest Control Conference, 1976
openaire   +2 more sources

In Vitro Evaluation of Botanicals and ITKs against Septoria lycopersici Causing Septoria Leaf Spot of Tomato

International Journal of Current Microbiology and Applied Sciences, 2020
D. R. Sindushree, Gurudatt M. Hegde, Yashoda R. Hegde   +2 more
openaire   +1 more source

GreenAid: a confidence-weighted ensemble deep learning system for real-time plant disease detection and management. [PDF]

Sci Rep
Talaat FM, Tawfik M, Shaban WM.
europepmc   +1 more source

AD-DETR: A Real-Time Transformer with Multi-Scale Alignment and Spatial-Spectral Fusion for Crop Disease Detection. [PDF]

Sensors (Basel)
Wang B, Zhou H, Wang Z, Chen R.
europepmc   +1 more source

Testing the 'hybrid susceptibility' and 'phenological sink' hypotheses using the P. balsamifera - P. deltoides hybrid zone and septoria leaf spot [Septoria musiva]. [PDF]

PLoS One, 2013
LeBoldus JM, Isabel N, Floate KD, Blenis P, Thomas BR.   +4 more
europepmc   +1 more source

A Large-Scale In-the-wild Dataset for Plant Disease Segmentation. [PDF]

Sci Data
Wei T, Chen Z, Yu X, Chapman S, Melloy P, Huang Z.   +5 more
europepmc   +1 more source