AI for Agriculture
Supper & Supper develops AI and data analysis solutions for digital agriculture, crop science, biotech and food technology.
Unlock new potential with modern AI solutions
Our AI experts with a focus on agricultural sciences develop tailor-made AI solutions for agriculture. We combine AI expertise with in-depth industry knowledge and support you in delivering your projects – upon request, even as an extended workbench.
From initial proof-of-concepts to platforms serving thousands of users such as ResiYou from Bayer Crop Science, we bring extensive project experience.
What does AI in agriculture mean?
AI in agriculture combines algorithms, machine learning and data analysis to automate farming processes and enable data-driven decisions. Data from satellite imagery, sensors, weather forecasts and soil analysis is processed in real time and turned into actionable insights – for better planning, execution and monitoring in the field.
This addresses the sector's core challenges: growing food demand, scarce resources and adapting to climate change.
Areas of application
Our AI solutions add value across the entire value chain:
- Efficiency & productivity: Drones and sensors monitor fields, analyse crop conditions and trigger targeted actions such as irrigation or pest control.
- Sustainability: Precision agriculture applies water, fertiliser and pesticides on demand and reduces environmental impact.
- Decision-making: Real-time data supports seed selection, yield prediction and crop planning.
- Climate adaptation: Analysing weather data helps predict extreme events and minimise crop losses.
- Supply chain: From harvest to sale, logistics and transport routes are optimised and losses reduced.
Digital farming
Digital farming uses sensors, drones, AI and satellite data to optimise production, conserve resources and enable data-driven decisions. We develop tailored AI solutions for this or support clients as an extended workbench.
- Specially trained AI models for soil, weather and field research data
- Scalable platforms for sensor, satellite and drone data
- Early detection of pest infestations, soil erosion and anomalies
Crop science, biotech and food technology
In crop protection, AI detects pest infestations, plant diseases and environmental stress early – by analysing drone images, satellite data and IoT sensors. In food technology, it supports quality control, residue analysis and the optimisation of production processes.
- Detection of plant diseases via pattern recognition
- Precise residue analysis for the highest quality standards
- Real-time quality control along the production line
AI projects in agriculture
Selected projects we have delivered for leading companies in the agricultural sector: