Machine learning approach for automatic recognition of tomato-pollinating bees based on their buzzing-sounds

Machine learning approach for automatic recognition of tomato-pollinating bees based on their buzzing-sounds

Bee-mediated pollination greatly increases the size and weight of tomato fruits. Therefore, distinguishing between the local set of bees–those that are efficient pollinators–is essential to improve the economic returns for farmers. To achieve this, it is important to know the identity of the visitin...

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Bibliographic Details
Main Authors: da Silva, N.F.F (Author), de Cássia Souza Araújo, P. (Author), Mesquita, F.N (Author), Mesquita-Neto, J.N (Author), Ribeiro, A.P (Author), Rosa, T.C (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
acoustics
Acoustics
agricultural worker
algorithm
Algorithms
animal
Animals
article
bee
Bees
biology
classification
classifier
Computational Biology
crop
Crops, Agricultural
flower
Flowers
growth, development and aging
harvest
human
human cell
Lycopersicon esculentum
machine learning
Machine Learning
nonhuman
physiology
pollination
Pollination
randomized controlled trial (topic)
taxonomic identification
tomato
ultrasound
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