Full Circle Biotechnology, a company based in Bangkok, is using artificial intelligence (AI) to lower the costs of insect farming. The company rears black soldier fly larvae to produce animal feed for shrimp and pig farms. The larvae feed on fruit and vegetable waste before being harvested and combined with probiotic bacteria and mushrooms. Full Circle claims that its insect-based feed has a carbon footprint that is 100 times lower than soybean-based feed. However, soybean feed is currently substantially cheaper, posing a challenge for Full Circle. By using AI, the company hopes to maximize production at a lower cost by studying past and present data on insect farming to determine the best methods.

Cogastro, a software provider for insect farms based in Lithuania, is also working on an AI-based system. The company currently sells monitoring software that collects data for users to analyze. The AI upgrade will allow the system to learn, adapt, and make changes within an insect farm. Cogastro plans to launch the AI commercially within the next three years. The company's founder, Mante Sidlauskaite, emphasizes the importance of developing a solid software foundation before implementing AI. She cautions against companies that claim to have AI systems readily available without sufficient data and customer experience.

Full Circle is collaborating with Singapore-based AI expert Simon Christofides to develop its AI system. As black soldier fly larvae have only been farmed commercially for a short time, there is still much to learn. AI can accelerate this learning process by analyzing multiple sensors and millions of data points. However, there are certain aspects of insect farming, such as the breeding process, that still require a hands-off approach. Understanding the social and behavioral dynamics of the flies is crucial for successful breeding.

In conclusion, Full Circle Biotechnology and Cogastro are using AI to optimize insect farming and lower costs. While there are challenges to overcome, such as the cost competitiveness of soybean-based feed, AI has the potential to revolutionize the industry by analyzing vast amounts of data and providing insights that humans cannot achieve alone.

Original news source: The insect farmers turning to AI to help lower costs (BBC)

– News Summary
Instructions: In pairs, students will read the article and write a summary of the main points in their own words. They can then compare their summaries with a partner and discuss any differences or similarities. Finally, as a class, they can share their summaries and discuss any additional insights or perspectives.
– Opinion Poll
Instructions: Divide the class into small groups and assign each group a specific question related to the article. For example, "Do you think AI will revolutionize the insect farming industry?" Each group will discuss the question and come up with their own opinions. Then, they will conduct an opinion poll within the class, asking other students for their opinions on the same question. Finally, each group will present their findings and have a class discussion about the different perspectives.
– Vocabulary Pictionary
Instructions: Give each student a vocabulary word from the article. Without using any spoken or written words, the students must draw a picture to represent their assigned word. They can then take turns showing their drawings to the class and the rest of the class must guess the word. This activity will help reinforce the vocabulary from the article in a fun and interactive way.
– Speed Summarizing
Instructions: Divide the class into pairs. One student will be the speaker and the other will be the listener. The speaker will have one minute to summarize the article to the listener, highlighting the main points and key details. After one minute, the roles will switch and the listener will have one minute to summarize what they heard. This activity will help students practice their listening and speaking skills, as well as improve their ability to summarize information quickly and accurately.
– Pros and Cons
Instructions: In small groups, students will discuss the pros and cons of using AI in insect farming, based on the information in the article. They will make a list of the advantages and disadvantages and then present their findings to the class. After each group presents, there can be a class discussion to compare and contrast the different perspectives and explore any additional pros and cons that were not mentioned.

Full Circle ?, a company based in Bangkok, is using ? intelligence (AI) to lower the costs of insect farming. The company rears black soldier fly larvae to produce animal feed for shrimp and pig farms. The larvae feed on ? and vegetable waste before being harvested and combined with probiotic bacteria and mushrooms. Full Circle claims that its insect-based feed has a carbon footprint that is 100 times lower than ?-based feed. However, soybean feed is currently substantially cheaper, posing a challenge for Full Circle. By using AI, the company hopes to maximize production at a lower cost by studying past and present data on ? farming to determine the best methods. Cogastro, a software provider for insect farms based in Lithuania, is also working on an AI-based system. The company currently sells ? software that collects data for users to ?. The AI upgrade will allow the system to learn, adapt, and make ? within an insect farm. Cogastro plans to launch the AI commercially within the next three years. The company's founder, Mante Sidlauskaite, ? the importance of ?ing a solid software foundation before ? AI. She cautions against companies that claim to have AI systems readily available without sufficient data and customer experience. Full Circle is collaborating with Singapore-based AI expert Simon ? to develop its AI system. As black soldier fly larvae have only been farmed commercially for a short time, there is still much to learn. AI can accelerate this learning process by analyzing multiple sensors and millions of data points. However, there are certain aspects of insect farming, such as the ? process, that still require a hands-off approach. Understanding the social and behavioral dynamics of the flies is crucial for successful breeding. In conclusion, Full Circle Biotechnology and ? are using AI to optimize insect farming and lower ?. While there are challenges to overcome, such as the cost competitiveness of soybean-based feed, AI has the potential to revolutionize the industry by analyzing vast amounts of data and providing insights that ? cannot achieve alone.

1. What is your opinion on using AI to lower the costs of insect farming?
2. How would you feel if AI technology replaced human workers in insect farming?
3. Do you think using AI in insect farming will have a positive or negative impact on the environment? Why or why not?
4. What is your experience with using AI technology in other industries? How do you think it could be applied to insect farming?
5. How do you think AI can help improve the efficiency and productivity of insect farming?
6. Do you think AI technology will be able to replace human decision-making in insect farming completely? Why or why not?
7. What are the potential benefits and drawbacks of using AI in insect farming?
8. How do you think AI technology can help address the challenges faced by insect farming, such as the cost competitiveness of soybean-based feed?
9. What are some other industries or sectors where you think AI technology could be applied to improve efficiency and productivity?
10. Do you think AI technology will eventually replace human workers in various industries? Why or why not?
11. What is your opinion on the ethical implications of using AI in insect farming?
12. How do you think AI technology can help address the environmental concerns associated with traditional animal feed production?
13. Do you think AI technology will be able to adapt and learn as effectively as humans in the context of insect farming? Why or why not?
14. How do you think AI technology can contribute to the sustainable development of the agriculture industry as a whole?
15. What are some potential risks or challenges associated with relying heavily on AI technology in insect farming?

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