Impact of diseases and pests on premature fruit drop in sweet orange orchards in São Paulo state citrus belt, Brazil.
Sign Up to like & getrecommendations! Published in 2022 at "Pest management science"
DOI: 10.1002/ps.6894
Abstract: BACKGROUND Despite technical improvements in the citrus chain and leadership in orange production achieved in the past decades, premature fruit drop remains a major component of crop loss in São Paulo state citrus belt, the… read more here.
Keywords: premature fruit; fruit drop; fruit; diseases pests ... See more keywords
Farmers' knowledge and perceptions of Kersting's groundnut [Macrotyloma geocarpum (Harms) Maréchal and Baudet] diseases and pests in Benin.
Sign Up to like & getrecommendations! Published in 2022 at "Plant disease"
DOI: 10.1094/pdis-09-22-2190-re
Abstract: Kersting's groundnut [Macrotyloma geocarpum (Harms) Maréchal and Baudet] is a neglected and underutilized legume crop in Benin and is subject to several constraints, including diseases and pests, which constitute a bottleneck to its production. A… read more here.
Keywords: geocarpum harms; groundnut macrotyloma; diseases pests; macrotyloma geocarpum ... See more keywords
A Graph-Related High-Order Neural Network Architecture via Feature Aggregation Enhancement for Identification Application of Diseases and Pests
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4391491
Abstract: Diseases and pests are essential threat factors that affect agricultural production, food security supply, and ecological plant diversity. However, the accurate recognition of various diseases and pests is still challenging for existing advanced information and… read more here.
Keywords: aggregation enhancement; high order; diseases pests; fine grained ... See more keywords
Identification Method of Citrus Aurantium Diseases and Pests Based on Deep Convolutional Neural Network
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DOI: 10.1155/2022/7012399
Abstract: The traditional identification methods of Citrus aurantium diseases and pests are prone to convergence during the running process, resulting in low accuracy of identification. To this end, this study reviews the newest methods for the… read more here.
Keywords: neural network; aurantium diseases; identification; aurantium ... See more keywords
Transfer Learning-Based Search Model for Hot Pepper Diseases and Pests
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DOI: 10.3390/agriculture10100439
Abstract: The use of conventional classification techniques to recognize diseases and pests can lead to an incorrect judgment on whether crops are diseased or not. Additionally, hot pepper diseases, such as “anthracnose” and “bacterial spot” can… read more here.
Keywords: diseases pests; hot pepper; model; deep features ... See more keywords
ACE-ADP: Adversarial Contextual Embeddings Based Named Entity Recognition for Agricultural Diseases and Pests
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DOI: 10.3390/agriculture11100912
Abstract: Entity recognition tasks, which aim to utilize the deep learning-based models to identify the agricultural diseases and pests-related nouns such as the names of diseases, pests, and drugs from the texts collected on the internet… read more here.
Keywords: agricultural diseases; diseases pests; named entity; entity recognition ... See more keywords
YOLO-JD: A Deep Learning Network for Jute Diseases and Pests Detection from Images
Sign Up to like & getrecommendations! Published in 2022 at "Plants"
DOI: 10.3390/plants11070937
Abstract: Recently, disease prevention in jute plants has become an urgent topic as a result of the growing demand for finer quality fiber. This research presents a deep learning network called YOLO-JD for detecting jute diseases… read more here.
Keywords: jute; learning network; diseases pests; jute diseases ... See more keywords