Session Abstract:
In the rapidly evolving landscape of precision agriculture, the integration of Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and other advanced technologies holds immense promise for optimizing farm operations and increasing yields. However, realizing the full potential of these technologies in agritech and ensuring profitability presents a complex challenge. Join us for a panel discussion featuring experts in precision agriculture as they explore the intricacies of leveraging IoT and advanced technology for sustainable profitability in agritech solutions. The panelists will delve into key topics including:- Overcoming Profitability Hurdles: Discussing the barriers and challenges faced by agritech companies in achieving profitability with IoT-driven solutions, and strategies to overcome them.
- Advice for Agritech Companies: Sharing invaluable insights and best practices for agritech companies seeking to harness the power of IoT, AI, and ML to deliver value to farmers, agricultural holdings, and growers.
- Designing Effective Agritech Solutions: Exploring the critical factors that must be considered when designing and selling agritech solutions built on IoT, AI, and ML, including scalability, interoperability, data security, and user experience.
- Maximizing ROI for Farmers: Examining how farmers and agricultural stakeholders can maximize return on investment (ROI) from adopting IoT- enabled precision agriculture solutions, and the potential benefits for farm productivity, sustainability, and profitability.
Speakers:
Sebastian Villegas, 12 years experience in the protein production field. Mechatronic Eng, with and MBA from the University of Bath (UK). Currently I am Asimetrix COO, a Colombian company focused on unlocking the power of data in the protein production industry (🐖, 🐓,🥚) through analytics, AI and IoT devices (Smartfarm) for capturing data from productive farms, such as: humidity, temperature, light, and pigs weight with our PigVision technology.

2026
2026
2026