Application of a U-Net Neural Network to the Puccinia sorghi–Maize Pathosystem
KL Holan, CH White, SA Whitham - Phytopathology®, 2024 - Am Phytopath Society
Computer vision approaches to analyze plant disease data can be both faster and more
reliable than traditional, manual methods. However, the requirement of manually annotating …
reliable than traditional, manual methods. However, the requirement of manually annotating …
[HTML][HTML] Evaluation of Resistance Induction Promoted by Bioactive Compounds of Pseudomonas aeruginosa LV Strain against Asian Soybean Rust
AR Barazetti, ML Dealis, KR Basso, MCD Silva… - Microorganisms, 2024 - mdpi.com
Pseudomonas are known as higher producers of secondary metabolites with antimicrobial
properties and plant growth promoters, including resistance induction. These mechanisms …
properties and plant growth promoters, including resistance induction. These mechanisms …
Coverage of corn plants using different hydraulic nozzles and application volume rates
RSM Nascimento, DF Parreira, JS Milagres… - Journal of Plant …, 2022 - journals.pan.pl
An efficient application of phytosanitary products depends, among other factors, on a good
selection of nozzles and the application volume rate of the solution used. Thus, the objective …
selection of nozzles and the application volume rate of the solution used. Thus, the objective …