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Smart Bee Farm
Description
Smart bee farm is a software and hardware complex with machine learning elements created to improve the efficiency of bee cultivation using IoT: smart sensors, video and audio sensors. The software is adapted for farmers and allows to control all processes at bee farm from a smartphone and computer.Problem
Beekeeping is an important branch of agriculture, which also has a significant impact on related branches, since bees are the main pollinators of crops and flowers - up to 90% of global pollination. However, the potential of the industry is not fully realized - modern apiaries are still guided by the traditional model of beekeeping, many operations involve the use of manual labor, and decision-making is largely based on the personal experience of beekeepers. The economic losses of the apiary are largely due to bee diseases, which, despite the measures taken, remain significant. One of the main challenges is colony collapse disorder, due to which the average mortality rate in the world in recent years has been more than 20%.Solution
The Smart bee farm project is a revolution in beekeeping. Digitalization of the apiary is an opportunity to reduce losses and risks associated with the human factor, establish continuous monitoring of the condition of hives and bees, prevent bee diseases and the destruction of bee colonies. The IoT system, which includes audio, video, and other sensors, learns to analyze the situation in hives, predicting disease foci in advance. The software automates decision-making. AI-based system provides highly accurate recommendations for apiary employees, which improves the efficiency and productivity of the bee farm. This project is an opportunity to modernize the industry, change the modern understanding of beekeeping and significantly improve the economic performance of the apiary.Description
Smart bee farm is a software and hardware complex with machine learning elements created to improve the efficiency of bee cultivation using IoT: smart sensors, video and audio sensors. The software is adapted for farmers and allows to control all processes at bee farm from a smartphone and computer.Problem
Beekeeping is an important branch of agriculture, which also has a significant impact on related branches, since bees are the main pollinators of crops and flowers - up to 90% of global pollination. However, the potential of the industry is not fully realized - modern apiaries are still guided by the traditional model of beekeeping, many operations involve the use of manual labor, and decision-making is largely based on the personal experience of beekeepers. The economic losses of the apiary are largely due to bee diseases, which, despite the measures taken, remain significant. One of the main challenges is colony collapse disorder, due to which the average mortality rate in the world in recent years has been more than 20%.Solution
The Smart bee farm project is a revolution in beekeeping. Digitalization of the apiary is an opportunity to reduce losses and risks associated with the human factor, establish continuous monitoring of the condition of hives and bees, prevent bee diseases and the destruction of bee colonies. The IoT system, which includes audio, video, and other sensors, learns to analyze the situation in hives, predicting disease foci in advance. The software automates decision-making. AI-based system provides highly accurate recommendations for apiary employees, which improves the efficiency and productivity of the bee farm. This project is an opportunity to modernize the industry, change the modern understanding of beekeeping and significantly improve the economic performance of the apiary.
Financial Model
Time to launch the project: 6 months
Payback: 12 months
Interested in the project?
Geography
We have experience in working with clients in more than 20 countries: we understand how local legislation, mentality and experience influence technologies and innovation approaches
Our representations: Bahrain, China, Finland, Germany, Hong Kong, India, Indonesia, Italy, Kazakhstan, Malaysia, Singapore, South Korea, Switzerland, Thailand, Turkey, UAE, USA, Uzbekistan, Vietnam
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