Chris Knight enjoys fixing things. As the founder of Agribot, he’s rebuilding broken systems and focusing on the future. He is currently concentrating on using artificial intelligence, satellite data, and climate modelling to help farmers make data-driven decisions on their fields and inform the supply chain on the reality of the system.
As the climate becomes more unpredictable, food systems are facing more extreme weather. Agribot uses satellite data to help farmers adapt to erratic weather patterns, creating resilient systems.
Agribot Is Redefining Agricultural Intelligence
Knight designed Agribot specifically to help farmers by collecting valuable data on their land. Agribot is an agricultural intelligence platform that utilises satellite data, climate models, and AI to monitor farmland.
The platform examines fields and identifies which are performing well and which are showing issues that need to be addressed. This helps farmers focus their efforts on the fields at risk, an important consideration at a time when labour shortages and limited time constrain day-to-day operations.
Agribot does more than collect satellite images of fields; it predicts what is going to happen next.
This means farmers can be proactive and preventative, minimising crop loss, reducing inputs and supporting animal welfare, rather than reactive. The supply chain can also adapt to these fluctuations in production, reconnecting the system.
More from Startups
- Founder Of The Week: Carl Hopwood
- Top 7 SaaS Startups In Estonia You Should Know
- Startup Of The Week: IVFmicro
- Hockerty Launches Its New 3D Digital Body Profile: The Made-To-Measure Shopping Experience Of The Future
- Pioneering Red Light Therapy for Hair Loss and Receding Hairlines
- Top MedTech Startups in the UK
- Founder Of The Week: Matus Maar Of Nul
- Expert Predictions For Startup Trends In 2026
How Agribot Works
“Agribot is building the planet-scale field index, think Google for Agriculture. We “crawl” the Earth with satellites, climate data, and models to track every field in real time: growth, stress, and risk,” Knight explains.
Knight has a PhD in Applied Climatology and earned a bachelor’s degree in artificial intelligence and robotics. He is committed to helping farmers with actionable data and has received grants for Agribot. The project received £350k from Innovate UK and a EUR 600k innovation grant from EIT Food.
Instead of a farmer physically inspecting every field, Agribot uses satellite imagery that can penetrate cloud cover. The platform determines how quickly grass is growing, whether the land is under stress from too much or too little moisture, and detects early signs of trouble. Farmers can respond if it’s estimated that harvest time will have lower yields or if livestock need to be grazed elsewhere.
Grassland Modelling Solution
Agribot’s grassland modelling solution supports livestock farmers. The platform gives short-term weather forecasts and growth predictions. This helps livestock farmers plan their grazing rotations, use their feed supply more efficiently, and minimise inputs. This reduces costs and waste by improving pasture management.
The Agribot platform is at the forefront of AI-driven livestock and land management technology. The technology is reshaping how farmers make decisions about animal health, field management, finances and future planning. Better management improves soil health, helps farms remain profitable during difficult times and makes them more resilient for the future.
Knight is changing the world one field at a time by implementing AI-driven technology.
“Agribot turns climate complexity into actionable, explainable decisions at the field, landscape and global scale,” Knight concludes.
