Controlled Environment Agriculture: Connected Urban Farming скачать в хорошем качестве

Controlled Environment Agriculture: Connected Urban Farming

Controlled environment agriculture is becoming a popular phrase, but few understand what it takes to have a successful operation. Greenhouses equipped with the most sustainable vertical farming technology allow you to grow and harvest the highest quality produce year-round anywhere in the world. This is a game-changer for agriculture. Controlled environment agriculture means more food and less waste or more crop per drop. If controlled environment agriculture is something you are involved with or thinking about, or just interested in the subject, this webinar is for you. We have assembled three of the best minds in controlled environment agriculture to help us understand the current state of the industry and future opportunities. In 2021, Venture Capitalists invested nearly $6 billion in Controlled Environment Agriculture (“CEA”) and tech juggernauts Google, Amazon, and Microsoft are backing some prominent players in this quickly-emerging market. But is CEA headed for the Trough of Disillusionment? In this webinar, an engineer, an agro-ecologist, and an attorney discuss the CEA industry, the state of the art in CEA technologies, barriers that modern farmers must overcome, and opportunities in CEA. Topics discussed include: Big data, technology adaptations, regulations, certifications, machine learning, and aeroponics. In this webinar, you will learn: What is controlled environment agriculture and the science and practices behind it The current state of agriculture and why we need to pivot The current controlled environment landscape The risks and regulations in the industry The opportunities available today The future of controlled environment agriculture 00:00 Introduction 05:25 CEA Landscape 06:41 Modern Farming 08:28 What we're discussing 09:27 Lead up to CEA 14:41 CEA Business Model 19:22 CEA Technologies 22:30 State of the art in CEA 26:23 Regulations 32:35 Barriers to adoption 42:11 Opportunities 48:00 Machine Learning 51:31 Improved UX 55:02 Conclusion