Smart intercropping system to detect leaf disease using hyperspectral imaging and hybrid deep learning for precision agriculture. [PDF]
Goyal SB +6 more
europepmc +1 more source
CDPNet: a deformable ProtoPNet for interpretable wheat leaf disease identification. [PDF]
Zeng J +5 more
europepmc +1 more source
Genetic Diversity and Disease Resistance Genes Profiling in Cultivated <i>Coffea canephora</i> Genotypes via Molecular Markers. [PDF]
Silva ACA +6 more
europepmc +1 more source
Ultrastructural Examination of the Fungus-To-Fungus Interactions of <i>Lecanicillium uredinophilum</i> and <i>Phakopsora pachyrhizi</i>. [PDF]
Mwelasi PP +5 more
europepmc +1 more source
Sustainable management of coffee berry disease and leaf rust co-infection: a systematic review of deterministic models. [PDF]
Humphries UW +6 more
europepmc +1 more source
Regional feature purification contrastive learning for wheat biotic stress detection. [PDF]
Chen J, Chen YX, Xu SH.
europepmc +1 more source
Related searches:
The impact of coffee leaf rust on migration by smallholder coffee farmers in Guatemala
World Development, 2022Celia A Harvey, Margaret B Holland
exaly +2 more sources
(1970). Coffee Leaf Rust. PANS Pest Articles & News Summaries: Vol. 16, No. 4, pp. 606-624.
F. J. Nutman, F. M. Roberts
openaire +1 more source
Ecological perspectives on the coffee leaf rust
2022This chapter provides an ecological approach to the problem of coffee leaf rust. It first provides a brief overview of the research which has stemmed from a more technocentric approach to understanding and subsequently control CLR. The authors intentionally keep this section brief, but try to highlight areas which are of potential ecological and ...
Zachary Hajian-Forooshani +1 more
openaire +1 more source

