Usage of few-shot learning and meta-learning in agriculture: A literature review-Reference-Cited by-同舟云学术

Usage of few-shot learning and meta-learning in agriculture: A literature review

Published:2023-10 Issue: Volume:5 Page:100307
ISSN:2772-3755
Container-title:Smart Agricultural Technology
language:en
Short-container-title:Smart Agricultural Technology

Author:

Porto João Vitor de Andrade^ORCID,Dorsa Arlinda Cantero,Weber Vanessa Aparecida de Moraes,Porto Karla Rejane de Andrade,Pistori Hemerson

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Agricultural and Biological Sciences,Computer Science (miscellaneous)

Reference70 articles.

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2. Convolutional neural network for automatic identification of plant diseases with limited data;Afifi;Plants,2020

3. Learning to learn by gradient descent by gradient descent;Andrychowicz;Adv. Neural Inf. Process. Syst.,2016

4. Few-shot learning approach for plant disease classification using images taken in the field;Argüeso;Comput. Electron. Agric.,2020

5. Trajetória nacional da aquisição de alimentos produzidos por agricultores familiares para o programa nacional de alimentação escolar;Baraldi;Agric. Fam. Pesqui. Form. Desenvolv.,2021

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1. A New Siamese Network Loss for Cattle Facial Recognition in a Few-Shot Learning Scenario;AgriEngineering;2024-08-20

2. Reinforcement Learning-Driven Active Few-Shot Learning Framework with Hyperparameter Optimization for Rice Pest Classification;2024 2nd International Conference on Communications, Computing and Artificial Intelligence;2024-06-21