Results 51 to 60 of about 846,679 (205)

Arabica coffee leaf images dataset for coffee leaf disease detection and classification

open access: yesData in Brief, 2021
This article introduces Arabica coffee leaf datasets known as JMuBEN and JMuBEN2. Image acquisition was done in Mutira coffee plantation in Kirinyaga county-Kenya under real-world conditions using a digital camera and with the help of a pathologist ...
Jennifer Jepkoech   +3 more
doaj   +1 more source

KARAT DAUN ( Hemilieia vastatrix ) PADA TANAMAN KOPI ARABIKA DI PERKEBUNAN RAKYAT LAMAKNEN SELATAN

open access: yesJurnal Agrotek Tropika
South Lamaknen District is the center of coffee production in Belu Regency. Coffee production is influenced by external and internal factors, H. vastatrix attacks are among the main external factors that limit coffee production in this district.
Resti Fadillah   +6 more
doaj   +1 more source

IPR 107 - dwarf arabic coffee cultivar with resistance to coffee leaf rust [PDF]

open access: yesCrop Breeding and Applied Biotechnology, 2013
'IPR 107' was derived from a cross between 'IAPAR 59' and 'Mundo Novo IAC 376-4'. 'IPR 107' is a dwarf medium size plantwith medium precocity in ripening and with complete resistance to rust races in this time. This cultivar presents superior quality and high yield in many coffee regions.
Sera, Tumoru, Sera, Gustavo Hiroshi
openaire   +4 more sources

Additive and dominance markers effects for coffee leaf rust resistance in coffee canephora.

open access: yes, 2022
1302 markers effects for coffee leaf rust resistance in coffee Canephora. A, B and C are the additive markers effects estimated by neural network with three hidden layers, neural network with one hidden layer, and GBLUP, respectively. D, E, and F are the
Felipe Lopes da Silva (8881748)   +9 more
core   +1 more source

RoCoLe: A robusta coffee leaf images dataset

open access: yes, 2019
The dataset contains 1560 robusta coffee leaf images with visible mites and spots (denoting coffee leaf rust presence) for infection cases and images without such structures for healthy cases.
Parraga-Alava, J (via Mendeley Data)   +2 more
core   +2 more sources

THE EFFECTIVENESS OF LECANICILLIUM LECANII, BETEL LEAF EXTRACT AND COPPER OXIDE TO CONTROL RUST DISEASE ON COFFEE LEAF DISCS IN THE LABORATORY

open access: yesJurnal Agrotek Tropika
The coffee industry is still impacted by the leaf rust disease caused by Hemileia vastatrix B. et Br. Coffee plants are damaged and money might be lost as a result. The purpose of this study was to observe the effects of copper oxide, betel leaf extract,
Azrah Humairah Sirait   +3 more
doaj   +1 more source

EFIKASI VERTICILLIUM LECANII UNTUK MENGENDALIKAN PENYAKIT KARAT PADA CAKRAM DAUN KOPI DI LABORATORIUM

open access: yesJurnal Hama dan Penyakit Tumbuhan Tropika, 2012
Efficacy of Verticillium lecanii to prevent the incidence of rust on coffee leaf disks in the laboratory.  In the coffee plantations, Verticillium colonies often develop on the uredium and urediospores of H. vastatrix causing coffee leaf rust.
Cipta Ginting dan Subli Mujim .
doaj   +1 more source

Effect of water stress and coffee ringspot virus on coffee leaf temperature and its relationship with brevipalpus yothersi population [PDF]

open access: yes, 2020
The Brevipalpus yothersi Baker mite is a vector of Coffee ringspot virus (CoRSV), the causing agent of coffee ringspot disease. Knowing the mite-host interaction and the variables that improve the development of the mite are important in order to manage ...
De Andrade, Daniel Júnior [UNESP]   +11 more
core   +1 more source

Pesticide MRLs as Trade Barriers: Evidence From Vietnam's Coffee and Rice Exporters

open access: yesAgribusiness, EarlyView.
ABSTRACT As tariffs have declined globally through bilateral and regional trade agreements, food safety standards have emerged as significant determinants of agricultural trade flows. This study examines the impact of maximum residue limits (MRLs) for five pesticides—Azoxystrobin, Chlorpyrifos, Chlorantraniliprole, Clothianidin, and Cyhalothrin—on ...
Nhat Mai Nguyen   +2 more
wiley   +1 more source

A multi‐task deep learning–based approach to identify and assess dry root rot disease in chickpea

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise Dry root rot (DRR), an emerging global disease exacerbated by drought, affects a wide range of crops. The disease symptoms are manually scored for large‐scale germplasm screening to identify disease‐resistant varieties and test transgenic lines and other varieties.
Piyush Priya   +7 more
wiley   +1 more source

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