A cluster-classification method for accurate mining of seasonal honey bee patterns-Reference-Cited by-同舟云学术

A cluster-classification method for accurate mining of seasonal honey bee patterns

Published:2020-09 Issue: Volume:59 Page:101107
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Rafael Braga Antonio,G. Gomes Danielo,M. Freitas Breno,A. Cazier Joseph

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Appalachian State University

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference39 articles.

1. A dendrite method for cluster analysis;CaliÅ;Commun. Stat.,1974

2. A review of impacts of temperature and relative humidity on various activities of honeybees;Abou-Shaara;Insect. Soc.,2017

3. Death of the bee hive: understanding the failure of an insect society;Barron;Curr. Opin. Insect Sci.,2015

4. Applying the long-term memory algorithm to forecast thermoregulation capacity loss in honeybee colonies;Braga,2019

5. A method for mining combined data from in-hive sensors, weather and apiary inspections to forecast the health status of honey bee colonies;Braga;Comput. Elect. Agric.,2020

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving pollen-bearing honey bee detection from videos captured at hive entrance by combining deep learning and handling imbalance techniques;Ecological Informatics;2024-09

2. Mineral and particle-size chemometric classification using handheld near-infrared instruments for soil in Northeast Brazil;Geoderma Regional;2024-09

3. Buzzing with Intelligence: Current Issues in Apiculture and the Role of Artificial Intelligence (AI) to Tackle It;Insects;2024-06-04

4. Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies;Insects;2024-01-22

5. Technological Adoption and Challenges in Beekeeping: A Review;2023 IEEE International Conference on Agrosystem Engineering, Technology & Applications (AGRETA);2023-09-09