{"id":105647,"date":"2025-03-07T10:05:11","date_gmt":"2025-03-07T09:05:11","guid":{"rendered":"https:\/\/www.sonnenseite.com\/?p=105647"},"modified":"2025-03-07T10:05:12","modified_gmt":"2025-03-07T09:05:12","slug":"beehive-sensors-offer-hope-in-saving-honeybee-colonies","status":"publish","type":"post","link":"https:\/\/www.sonnenseite.com\/en\/science\/beehive-sensors-offer-hope-in-saving-honeybee-colonies\/","title":{"rendered":"Beehive sensors offer hope in saving honeybee colonies"},"content":{"rendered":"\n

Innovation allows for remote monitoring of beehive health.<\/p>\n\n\n\n

UC Riverside computer science team has developed a sensor-based technology that could revolutionize commercial beekeeping by reducing colony losses and lowering labor costs.<\/p>\n\n\n\n

Called the Electronic Bee-Veterinarian, or EBV, the technology uses low-cost heat sensors and forecasting models to predict when hive temperatures may reach dangerous levels. The system provides remote beekeepers with early warnings, allowing them to take preventive action before their colonies collapse during extreme hot or cold weather or when the bees cannot regulate their hive temperature because of disease, pesticide exposure, food shortages, or other stressors.  <\/p>\n\n\n\n

\u201cWe convert the temperature to a factor that we are calling the health factor, which gives an estimate of how strong the bees are on a scale from zero to one,\u201d said Shamima Hossain<\/a>, a Ph.D. student in computer science at UCR and lead author of a paper explaining the technology<\/a>.<\/p>\n\n\n\n

This simplified metric \u2014 with a score of \u2018one’ meaning the bees are at full strength \u2014 allows beekeepers unfamiliar with the underlying model to assess hive health quickly.<\/p>\n\n\n\n

Boris Baer<\/a>, a UCR professor of entomology, believes the technology could revolutionize beekeeping, which is essential to vast sectors of global agriculture. Honeybees pollinate more than 80 crops and contribute an estimated $29 billion annually to U.S. agriculture. Yet bee populations have declined due to various factors, including habitat loss, pesticide exposure, parasites, and climate change.<\/p>\n\n\n\n

\u201cOver the last year, the U.S. lost over 55% of its honeybee colonies,\u201d Baer said, citing data from Project Apis m., which monitors beehive losses throughout the U.S. \u201cWe are experiencing a major collapse of bee populations, and that is extremely worrying because about one-third of what we eat depends on bees.\u201d<\/p>\n\n\n\n

Beekeepers now rely on their own judgment and manual inspections to detect problems, often leading to delayed interventions. With EBV, they can get real-time insights and predict conditions days in advance, significantly reducing labor costs, said Baer, who collaborated with Hossain and other scientists at UCR\u2019s Bourns College of Engineering.<\/p>\n\n\n\n

\u201cPeople have dreamed of these sensors for a very long time,\u201d Baer said. \u201cWhat I like here is that this system is fully integrated into the hive setup that beekeepers already use.\u201d<\/p>\n\n\n\n

Temperature fluctuations are among the first responses to any kind of threats to a hive\u2019s health. Honeybees maintain a precise internal hive temperature between 33 and 36 degrees Celsius (91.4\u201396.8\u00b0F), a requirement for proper brood development and colony survival, Baer said.<\/p>\n\n\n\n

The EBV method is based on thermal diffusion equations and control theory, making its predictions interpretable to both scientists and beekeepers, Hossain said. The model uses temperature data collected from low-cost sensors installed inside the hive, feeding that information into an algorithm that predicts hive conditions several days in advance.<\/p>\n\n\n\n

In tests conducted at UCR\u2019s apiary, the EBV method analyzed data from 10 hives during initial development and later expanded to 25 hives. The technology has already proven its effectiveness, detecting conditions that required beekeeper intervention.<\/p>\n\n\n\n

\u201cWhen I looked at the dashboard and saw the health factor dropped below an empirical threshold, I contacted our apiary manager,\u201d Hossain recalled. \u201cWhen we went to check the hive, we found that there was actually something wrong, and they were able to take action to manage the situation.\u201d<\/p>\n\n\n

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A low-cost heat sensor on a beehive frame (UCR photo)<\/figcaption><\/figure>\n<\/div>\n\n\n

Hyoseung Kim<\/a>, an associate professor of electrical and computer engineering at UCR, explained that keeping costs low \u2014 under $50 per hive \u2014 is a high priority.<\/p>\n\n\n\n

\u201cThere are commercial sensors available, but they are too expensive,\u201d Kim said. \u201cWe decided to create a very cheap device using off-the-shelf components so that beekeepers can afford it.\u201d<\/p>\n\n\n\n

The research team is already working on the next phase, which is to develop automated hive climate controls that can be installed on hives and respond to EBV\u2019s predictions, adjusting hive temperatures automatically.<\/p>\n\n\n\n

\u201cRight now, we can only issue warnings,\u201d Hossain said. \u201cBut in the next phase, we are working on designing a system that can automatically heat or cool the hive when needed.\u201d<\/p>\n\n\n\n

The title of Hossain\u2019s paper<\/a> is \u201cPrincipled Mining, Forecasting and Monitoring of Honeybee Time Series with EBV+\u201d In addition to Hossain, Baer and Kim, the co-authors are Christos Faloutsos<\/a>, professor of computer science at Carnegie Mellon University, and Vassilis Tsotras<\/a>, professor of computer science and engineering at UCR.<\/p>\n\n\n\n

All the authors are with UCR\u2019s Center for Integrative Bee Research<\/a>, one of the largest pollinator health research hubs in the nation.<\/p>\n\n\n

Source<\/h5>\r\n\n\n\n

University of California, Riverside\u00a0(UCR) 2025<\/a><\/p>\n

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