Results 21 to 30 of about 376 (165)
The biodiversity of natural competitors is vital to key ecosystem services and agroecosystems’ benefits to society. The abundance and richness of hymenopteran parasitoid communities, and subsequently their services, are dependent on the variety of ...
Kulian Basil Santa Cecília Marques +4 more
doaj +1 more source
Arabica coffee leaf images dataset for coffee leaf disease detection and classification
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
This research is related to the evaluation of vegetative growth parameters, initial yield and incidence of pests and diseases of twelve Arabica coffee cultivars submitted to the subtropical humidity environment of Vale do Ribeira Paulista, Brazil.
Alex Mendonça de Carvalho +5 more
doaj +1 more source
Metarhizium species can be mutualistic symbionts of plants. They are able to colonize roots, promote plant growth and provide protection against pests. We previously found Metarhizium robertsii and M.
Mayara L. Franzin +7 more
doaj +1 more source
Initial vegetative and reproductive development of coffee cultivars in Vale do Ribeira Paulista
This research is related to the performance evaluation of twelve Coffea arabica cultivars in Vale do Ribeira Paulista, in order to generate consistent information for the technical recommendation for cultivation in the region.
Alex Mendonça de Carvalho +6 more
doaj +1 more source
Web-based CNN Application for Arabica Coffee Leaf Disease Prediction in Smart Agriculture
In the agriculture industry, plant diseases provide difficulty, particularly for Arabica coffee production. A first step in eliminating and treating infections to avoid crop damage is recognizing ailments on Arabica coffee leaves.
Yazid Aufar +2 more
doaj +1 more source
A smartphone application to detection and classification of coffee leaf miner and coffee leaf rust
Generally, the identification and classification of plant diseases and/or pests are performed by an expert . One of the problems facing coffee farmers in Brazil is crop infestation, particularly by leaf rust Hemileia vastatrix and leaf miner Leucoptera coffeella. The progression of the diseases and or pests occurs spatially and temporarily.
Giuliano L. Manso +3 more
openaire +2 more sources
Spray deposition and chemical control of the coffee leaf-miner with different spray nozzles and auxiliary boom [PDF]
The coffee crop requires great spray ability to penetrate into the plant canopy during the application of pesticides. The aim of this study was to evaluate the spray deposition on leaves of coffee plants and the chemical control of the leaf miner ...
JEFFERSON GITIRANA NETO +1 more
doaj +2 more sources
: The infestation of coffee leaf miner and its predation by wasps were assessed in commercial organic coffee plantings shaded with leucaena or intercropped with pigeon pea.
Adriano Thibes Hoshino +4 more
doaj +1 more source
Artificial intelligence for detection and quantification of rust and leaf miner in coffee crop
Pest and disease control plays a key role in agriculture since the damage caused by these agents are responsible for a huge economic loss every year. Based on this assumption, we create an algorithm capable of detecting rust (Hemileia vastatrix) and leaf miner (Leucoptera coffeella) in coffee leaves (Coffea arabica) and quantify disease severity using ...
Alvaro Leandro Cavalcante Carneiro +2 more
openaire +2 more sources

