top of page
food-and-farming-2500.jpg

AGRICULTURE & FOOD

​Combining scientific disciplines including mathematics, chemistry, biology, biotechnology, and data science into smart, digitally solutions can enable farmers and the agricultural industry worldwide to prosper through improved efficiency, productivity, and returns.

Agriculture is at the heart of providing healthy and safe food and other essential goods all around the world. There are many challenges for farmers, suppliers, and brands to address along the end-to-end supply chain, including economic, environmental, and social issues. Keeping pace with global demand will continue to require innovation and new tools, making the sector even more productive, and keeping our planet and our food chain safe.  Combining disciplines including mathematics, chemistry, biology, biotechnology, and data science into smart, digitally solutions can enable farmers and the agricultural industry worldwide to prosper through improved efficiency, productivity, and returns.

HORTICULTURAL
MODELLING

Leverage this versatile technique for yield prediction, policy evaluation, or process optimisation Explore water balance, mineral uptake, pest interaction, diseases and genetics, inter-plant variability, and formation of product quality.

CROP SCIENCE
ENHANCEMENT

Leverage the latest technologies to drive innovation in traditional breeding, biotechnology, and gene editing. Find novel ways to produce more with less. Engineer crops that offer better performance, nutrition, and resistance.

EFFICIENCY AND
SUSTAINABILITY

Identify systemic waste or risks with water, chemical, energy usage and identify key opportunities to reduce or "net zero" CO2. Re-engineer processes, materials, ways of working, automation, and more with insight.

AI AND IOT
ENABLEMENT

How can AI and IoT work together to enable smart agriculture? Model core elements to make autonomous farming, supplies on demand, smart supply chains, and connected monitoring a reality.

How to apply this?

Our capabilities have already been deployed to help many sectors improve their productivity and sustainability.

​

Agricultural production

  • Improve yield volume and quality

  • Build resilience and resistance to pests and environmental change

  • Reduce waste, impact of chemicals, pesticides

  • Predict/analyse impact

  • Model climate/ecosystem change

  • Model optimum system dynamics

  • Water and energy saving

Supply chain

  • Risk, monitoring, control

  • Greener routing and distribution of food chain

Sustainability

  • System design for

    • Waste management

    • Reduce CO2 emissions

    • Efficient onsite bioenergy

bottom of page