Abstract
In the face of climate change and food security challenges, harnessing artificial intelligence (AI) in plant phenomics is revolutionizing how we breed, manage, and improve crops. This keynote will showcase the pioneering work of the Phenomics Platform at the Alliance of Bioversity International and CIAT, CGIAR, demonstrating how AI-driven phenotyping, advanced imaging, and remote sensing are unlocking new frontiers in crop improvement and climate adaptation.
By leveraging high-throughput phenotyping tools, we capture vast datasets across multiple growth stages and stress scenarios. AI-powered analytics uncover predictive traits, genotype-environment interactions, and stress resilience mechanisms, accelerating data-driven breeding strategies for climate-smart agriculture. Cutting-edge advancements now allow scalable phenotyping, bridging the gap between genomics and real-world crop performance to develop high-yielding, resilient, and nutrient-rich crops.
This keynote will also highlight real-world field-testing methodologies, designed to simulate diverse environmental conditions, ensuring scalability and applicability in breeding programs. Our research provides breeders with precise insights into stress responses, drought tolerance, and crop adaptation, empowering them to make informed, impact-driven decisions.
Collaboration is central to our vision. By fostering open data initiatives, interdisciplinary partnerships, and technology transfer, we aim to democratize AI-driven phenomics, making cutting-edge solutions accessible to researchers, breeders, and farmers worldwide. This session will illustrate how AI-enhanced phenomics is reshaping the future of crop science, complementing genomics and accelerating sustainable agricultural innovation.
Biography
I am Michael Gomez Selvaraj, a visionary leader in agricultural research, with a specific focus on harnessing the power of Artificial Intelligence (A.I.) to revolutionize cropping system agronomy. As the Leader of the Phenomics platform at the Alliance of Bioversity and CIAT within CGIAR, my goal is to envision a world where regenerative agriculture and data-driven innovation converge to create sustainable solutions.
Passionate about addressing the most pressing challenges in agriculture, I envision a future where the information revolution brought about by A.I. transforms the agricultural research landscape. Recognizing agriculture as one of the world’s largest industries, sustaining billions of people and employing a significant portion of the global workforce, I strive to bridge the gap between modern technological advancements and the traditional farming practices of small-scale farmers.
My mission extends beyond technological advancement; I aim to cultivate a symbiotic relationship between technology and humanity, ensuring that agricultural innovations benefit communities at the grassroots level. My commitment to inclusive digital technologies underscores my dedication to promoting sustainable agriculture, environmental stewardship, and community well-being. Throughout my career, I have made significant contributions to cropping system agronomy, genetic innovation, and digital inclusion. My work has not only enhanced the prosperity and resilience of vulnerable populations but has also facilitated greater nutritional security worldwide.
As a digital agriculture scientist, I lead pioneering research initiatives that leverage remote sensing and A.I. technologies to generate valuable insights for agricultural sustainability. My multidisciplinary approach, combined with state-of-the-art facilities and equipment, positions me at the forefront of precision agriculture.