Developing and integrating digital tools with on farm assets to unlock financial and ecological sustainability for global agriculture
InFarm is an Agricultural AI company focused on delivering ground breaking technology to farmers.
Using state of the art AI and advance technology to develop tools that will help farmers become more efficient, save money or become more profitable.
InFarm's best known analysis is a fallow weed detection platform. It is a drone to tractor solution that integrates with farmers every day tractors. This eliminates the need for expensive extra equipment and allows farmers to target weeds, saving up to 95% in herbicide use on farm.
We are committed to creating next generation solutions. We challenge the status quo with open minds and look beyond the present to deliver future value.
We act with compassion and integrity in everything we do. We build trust through honest relationships and are accountable for our words, actions and results. We value ideas over hierarchy and are committed to honouring and developing our employees’ talents.
We satisfy our consumers with superior products, value, service and experiences. We are committed to listening and responding positively to their needs.
We are committed to creating next generation solutions. We challenge the status quo with open minds and look beyond the present to deliver future value.
Managing Director, Founder
Jerome Leray is the Founder and Managing Director of InFarm and is committed to delivering solutions to farmers that increase productivity, resilience and sustainability. With a BCommerce and postgrad qualifications in Mineral Exploration and GeoScience, Jerome founded InFarm in early 2017 off the back of a highly successful aerial surveying and remote sensing business.
Jerome is a recognised industry leader, having been awarded the Agricultural Ministers Emerging Leader Award in 2020, as well as representing Australia at the Entrepreneurship World Cup. For his contributions to technology and agriculture Jerome received a QLD Community Achievement Award and led InFarm to be awarded the Australian Food and Agribusiness of the Year in 2019.
Operations Manager
Dr Alex Olsen has over 10 years of experience in research and development with a deep understanding and expertise of machine vision and deep learning technologies and their application in precision agriculture. He holds a PhD in Electronics Engineering from James Cook University, where he conducted research that revealed the promise of deep learning for weed species and robotic weed control. Dr Olsen has co-raised over $5M in research grants and led a variety of innovative projects about developing tangible solutions for agriculture to improve productivity for Australian farmers.
Head Of Engineering
Dr Ross Marchant is the Head of Engineering at InFarm, and drives the advancement of cutting-edge technology to empower farmers with heightened productivity, efficiency and sustainability. His extensive background spans industry and research, encompassing the design of electronic instruments for environmental monitoring and the application of image analysis and machine learning to tackle pest management at scale.
Software Engineer
Zoe is a passionate software developer with a master’s degree in software development. With diverse experience across finance tech and drone technology, Zoe has developed a unique skill set that blends technical expertise with innovative problem-solving.
Zoe thrives on finding creative solutions, bringing a fresh perspective to every project by combining her love for coding with a flair for creativity. Whether it's developing cutting-edge software or streamlining processes through well-crafted documentation, Zoe is always looking for ways to push the boundaries of technology and design.
Software Engineer
Trey began his journey in agriculture four years ago with an honors project focused on roadside weed detection. Since then, he has dedicated himself to developing innovative software solutions that enhance farming efficiency and productivity. With a keen interest in geospatial technology and machine learning, Trey has worked on projects aimed at improving agricultural practices. His passion for creating practical and impactful technology solutions continues to drive his work.
Data Annotation Supervisor
Aishwarya has successfully spearheaded AI data initiatives across agriculture, FMCG, healthcare, and retail industries, working closely with machine learning engineers, product teams, and stakeholders to meet project objectives.
With deep expertise in data annotation, data quality, and the entire data lifecycle, she has led large teams to deliver accurate, high-quality data for machine learning and AI applications. Aishwarya has a proven ability to optimize workflows, ensuring consistency and accuracy while improving productivity and reducing operational costs.
Office Manager & Executive Assistant
Sara is an experienced Executive Assistant and Office Manager, dedicated to building strong professional relationships and creating a seamless office environment. With a diverse background across the Technology, Corporate, Retail, and Entertainment industries, she is passionate about delivering first-class office experiences and exceptional client service.