DIGITAL INTEGRATION
Computational Analysis, Machine Learning and Artificial Intelligence are essential in understanding the complexities of food, and nature
a revolutionary approach to computational discovery which identifies novel molecules and predicts in-field performance with new capability to capture, interpret and learn through systems-based algorithms
Our Computational Discovery team is using cutting-edge technologies to tackle age-old problems in agriculture while enabling a more sustainable and environmentally friendly future. Using a systems-based approach, we reduce the noise from the interactions found in nature to identify molecular tools used by plants, insects, fungi, and bacteria to compete.
COMPUTATIONAL
REVOLUTION
FOR
AGRICULTURE
By taking advantage of advances in computational biology, artificial intelligence, and machine learning we rapidly identify and optimize these potent natural tools; and reduce time to market.
By then using this technology to predict and minimize off-target effects – our approach to Computational Discovery will enable a new generation of agricultural products that are safer for farmers, consumers and the environment.
THE INTRINSIC POWER OF NATURE
Evolved over millions of years, tools have been precisely tuned to defend plants against attack and kill competitors. These nature-based mechanisms have led to highly efficient molecules that control weeds, insects and diseases in an ecologically balanced system. We turn to this intrinsic power of nature to move us forward.
OUR DIGITAL REVOLUTION COMES TO LIFE WITH AGRICULTURAL & ENVIRONMENTAL SOLUTIONS
The agricultural sector now faces two major challenges. First, producing enough food to feed every person. Second, protecting the environment that it, and we all desperately rely on.
Sustainable agricultural systems must reflect the values and goals of the society at large, and be consistent with evolving demands for healthy, safe food while reducing environmental impact.
THE IMPACT OF HEALTHY TREES
Advancements in biological and digital technologies are providing new tools that can be used to manage agricultural fields, groves and orchards more efficiently and more intelligently to properly design more sustainable systems.
Our Invaio Labs Digital Tree team is working on the development of a science-based interdisciplinary system approach to understand and quantify dynamic processes affecting tree productivity, health and net positive environmental footprint.
The Invaio Labs Digital tree platform will integrate biology, chemistry, and physics of the soil-tree-pathogen-atmosphere continuum in a unique geospatial computer simulation system designed to capture biotic and abiotic interactions in managed groves, orchards and forests.
The Invaio Labs Digital tree platform will digitize tree health with the integration of computer vision, high-resolution remotely sensed imagery, process-based modeling coupled with artificial intelligence. Our objective is to sustainably manage the biotic and abiotic factors affecting their yield and their environmental impact.
The Invaio Labs Digital tree platform will assess, predict and scale productivity and environmental footprint (greenhouse gas emission, soil carbon sequestration, runoff of chemicals) of trees grown under different management strategies in current and projected climates.
THROUGH A FOCUS ON PRECISION DELIVERY, WE TAKE A MORE MINDFUL APPROACH TO AGRICULTURE.
