Extended reality gives digital agricultural biotechnology a new dimension.

Facing up to the global challenges of designing climate-resilient biotech crops involves a great deal of out-of-the-box thinking. Extended reality is coming of age in digital agricultural biotechnology. Here, we seek to stimulate technological innovation by empowering future innovators, researchers, academics, and startups to think and partner creatively.

A primer on artificial intelligence in plant digital phenomics: embarking on the data to insights journey.

Artificial intelligence (AI) has emerged as a fundamental component of global agricultural research that is poised to impact on many aspects of plant science. In digital phenomics, AI is capable of learning intricate structure and patterns in large datasets. We provide a perspective and primer on AI applications to phenome research.

Ready, Steady, Go AI: A practical tutorial on fundamentals of artificial intelligence and its applications in phenomics image analysis.

High-throughput image-based technologies are now widely used in the rapidly developing field of digital phenomics and are generating ever-increasing amounts and diversity of data. Artificial intelligence (AI) is becoming a game changer in turning the vast seas of data into valuable predictions and insights. However, this requires specialized programming skills and an in-depth understanding of machine learning, deep learning, and ensemble learning algorithms.

Creating Bioethics Distance Learning Through Virtual Reality.

Bioethics education is a central element in the biotechnology curriculum. Re-imagining distance learning, virtual reality (VR) is taking student involvement to the next level of interaction, offering a real classroom experience and a new way to gain ethical reasoning skills. Here, we explore a new paradigm for bioethics education that involves VR.