Our lab is dedicated to advancing artificial intelligence (AI) technologies and their innovative applications in the biosystems domain, particularly in agriculture. We also explore foundational AI methodologies to bridge the gap between the rapid evolution of technology and its practical implementations across diverse industries. In agriculture, AI has emerged as a transformative tool for enhancing productivity and quality. We design AI architectures that can handle complex biological data streams and create adaptive learning systems that evolve with changing environmental conditions, always maintaining reliability despite noisy or incomplete field data. These challenges demand domain-specific knowledge and interdisciplinary collaboration, which our lab actively pursues. Beyond agricultural applications, our lab explores AI's potential in other domains, fostering interdisciplinary collaborations and advancing AI's role as a versatile problem-solving tool. Inspired by the principles of cognitive science, we emphasize learning from experts across diverse fields, integrating their knowledge to create AI systems that are both innovative and grounded in real-world needs. Together, we strive to shape a sustainable, efficient, and inclusive future for agriculture and beyond through cutting-edge AI research and development.