Results 131 to 140 of about 13,913 (203)

Enhancing Agricultural Image Segmentation with an Agricultural Segment Anything Model Adapter. [PDF]

Sensors (Basel), 2023
Li Y, Wang D, Yuan C, Li H, Hu J.
europepmc   +1 more source

Nanopesticides in Brazilian Crops: Classes, Mechanisms, Efficacy, Risks, and Photocatalytic Remediation. [PDF]

Plants (Basel)
Cardoso E Bufalo T, Buttrós VH, de Paiva AB, de Oliveira DD, Ribeiro CSF, Dória J.   +5 more
europepmc   +1 more source

Coffee Berry Borer, Hypothenemus hampei (Ferrari) (Coleoptera: Curculionidae): Activity and Infestation in the High Mountain and Blue Mountain Regions of Jamaica. [PDF]

Insects, 2023
Myrie A, Hall T, Luke D, Chinthapalli BR, Tennant P, Robinson D.   +5 more
europepmc   +1 more source

Ambiguity-aware semi-supervised learning for leaf disease classification. [PDF]

Sci Rep
Pham TC, Nguyen TN, Nguyen VD.
europepmc   +1 more source

Genetic improvement of robusta coffee (<i>Coffea canephora</i>) in the 20th and 21st centuries: prospects for increasing future breeding effectiveness and impact. [PDF]

Front Plant Sci
Kawuki R, Akpertey A, Barrera S, Berny Mier Y Teran JC, Devasia J, Kraft K, Akbar MR, Shivalingu BR, Sseremba G, Teixeira A, Rocha RB, Ha PV, Wibowo A, Humphrey T.   +13 more
europepmc   +1 more source

CRISPR technology towards genome editing of the perennial and semi-perennial crops citrus, coffee and sugarcane. [PDF]

Front Plant Sci, 2023
Prado GS, Rocha DC, Dos Santos LN, Contiliani DF, Nobile PM, Martinati-Schenk JC, Padilha L, Maluf MP, Lubini G, Pereira TC, Monteiro-Vitorello CB, Creste S, Boscariol-Camargo RL, Takita MA, Cristofani-Yaly M, de Souza AA.   +15 more
europepmc   +1 more source

A review of deep learning architectures for plant disease detection. [PDF]

Turk J Biol
Kaya Y, Gürsoy E.
europepmc   +1 more source

Pomegranate disease diagnosis with severity estimation and treatment remedies using deep learning and RAG-based LLM. [PDF]

Sci Rep
Revathi AR, Agash AA.
europepmc   +1 more source

Application technology for chemically controlling coffee leaf miner in Minas Gerais state cerrado

, 2018
Leaf miner is a major coffee tree pest and it causes severe losses. Most farmers perform chemical control in an attempt to reduce injuries caused to the crop. Thus, the current study aims to analyze spraying efficiency and control effectiveness according to the management plan adopted in a coffee farm in Minas Gerais Cerrado region. The application was
Zampiroli, Renan, Alvarenga, Cleyton Batista de, Carvalho, Vanessa Andaló Mendes de, Rinaldi, Paula Cristina Natalino, Assis, Gleice Aparecida de   +4 more
openaire   +1 more source

Identification of SNP Markers and Candidate Genes Associated with Major Agronomic Traits in Coffea arabica. [PDF]

Plants (Basel)
da Silva RA, Caixeta ET, Silva LF, Sousa TV, Barreiros PRRM, Oliveira ACB, Pereira AA, Barreto CAV, Nascimento M.   +8 more
europepmc   +1 more source