Difference between revisions of "Possibilities for smart bee management (Precision Beekeeping)"
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| − | To assess the status of a honey bee colony, the beekeeper needs to visually inspect the inside of the hive. This procedure is time consuming and may stress the colony. The active monitoring and remote sensing by appropriate ICT solutions (Precision Beekeeping) may be a useful tool to support the management of honey bee health, colony development and even the bee productivity. One practice for Precision Beekeeping is the use of '''Decision Support Systems'''. | + | To assess the status of a honey bee colony, the beekeeper needs to visually inspect the inside of the '''[[hive types|hive]]'''. This procedure is time consuming and may stress the colony. The active monitoring and remote sensing by appropriate ICT solutions (Precision Beekeeping) may be a useful tool to support the '''[[Hive Management|management]]''' of '''[[Honey bee health (Overview)|honey bee health]]''', colony development and even the bee productivity. One practice for Precision Beekeeping is the use of '''Decision Support Systems'''. |
Without sufficient data analysis it is not possible to get added value from different bee colony measurement systems. Decision Support System (DSS) can be adapted for the Precision Beekeeping for automatic data analysis and is considered as one of the sub-systems of the Precision Beekeeping. Using different algorithms and models, DSS can help the beekeepers to identify different bee colony states and warn about abnormal situation of the colony. Different bee colony states may have different levels of importance and can be identified with different levels of reliability. DSS can process and combine data related to the bee colony weight, temperature, sound etc. DSS decisions can be split into two groups: individual rules, which are based on single colony monitoring and differential rules, which are based on comparison of different colonies within one apiary. | Without sufficient data analysis it is not possible to get added value from different bee colony measurement systems. Decision Support System (DSS) can be adapted for the Precision Beekeeping for automatic data analysis and is considered as one of the sub-systems of the Precision Beekeeping. Using different algorithms and models, DSS can help the beekeepers to identify different bee colony states and warn about abnormal situation of the colony. Different bee colony states may have different levels of importance and can be identified with different levels of reliability. DSS can process and combine data related to the bee colony weight, temperature, sound etc. DSS decisions can be split into two groups: individual rules, which are based on single colony monitoring and differential rules, which are based on comparison of different colonies within one apiary. | ||
Revision as of 18:31, 10 December 2018
To assess the status of a honey bee colony, the beekeeper needs to visually inspect the inside of the hive. This procedure is time consuming and may stress the colony. The active monitoring and remote sensing by appropriate ICT solutions (Precision Beekeeping) may be a useful tool to support the management of honey bee health, colony development and even the bee productivity. One practice for Precision Beekeeping is the use of Decision Support Systems. Without sufficient data analysis it is not possible to get added value from different bee colony measurement systems. Decision Support System (DSS) can be adapted for the Precision Beekeeping for automatic data analysis and is considered as one of the sub-systems of the Precision Beekeeping. Using different algorithms and models, DSS can help the beekeepers to identify different bee colony states and warn about abnormal situation of the colony. Different bee colony states may have different levels of importance and can be identified with different levels of reliability. DSS can process and combine data related to the bee colony weight, temperature, sound etc. DSS decisions can be split into two groups: individual rules, which are based on single colony monitoring and differential rules, which are based on comparison of different colonies within one apiary.
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