Farm monitoring is a modern approach in agriculture that enables continuous monitoring and analysis of farms and fields. It uses advanced technologies such as IoT sensors, satellite imagery and video surveillance systems to collect real-time data on soil health, crop growth, animal welfare and resource use.
Real-time monitoring of fields and crops
- IoT sensors record soil temperature, humidity, light, pH and soil moisture in real time
- A digital map with all relevant data for remote monitoring and control
- Integration of weather forecasts for efficient decisions on irrigation and crop protection
Precision farming with AI-assisted video surveillance
- AI-based camera systems for analysing crop growth, weed control and pest detection
- Automated detection of diseases and pests through image analysis
- Optimised use of resources (water, pesticides, fertilisers) based on visual data and AI analysis
Smart livestock management
- GPS trackers and RFID tags for location tracking
- AI-assisted video surveillance to detect behavioural anomalies and health problems in animals
- Automated feeding systems based on individual animal data
Automated irrigation systems
- Intelligent control based on real-time soil data, weather forecasts and AI analysis
- Reduced water consumption through precise, needs-based irrigation
- Video data to monitor plant health and adjust the irrigation strategy
Artificial intelligence (AI) plays a crucial role in farm monitoring, especially in video surveillance. AI-assisted image analysis enables:
- Precise detection: AI algorithms identify and analyse animals, plants and objects in real time.
- Behavioural analysis: in livestock farming, AI recognises animals’ movement patterns and behaviour to detect health problems or oestrus cycles early.
- Automated monitoring: AI systems analyse large amounts of video around the clock and filter out relevant events, dramatically increasing monitoring efficiency.
- Animal welfare: in slaughterhouses, AI-based video analysis can detect and report potential animal welfare violations in real time.
- Resource optimisation: by analysing video data, farmers can optimise the use of water, fertilisers and other resources.
AI-assisted video surveillance enables farmers to make informed decisions and increase efficiency while improving animal welfare and sustainability.
Harvest monitoring and optimisation
- AI-assisted image analysis to predict harvest times and yields
- Real-time monitoring of the ripening process with camera systems
- Automated sorting and quality control through AI-based image processing
Security and surveillance
- AI-assisted surveillance cameras with nordSENSORS PROTECT to detect unauthorised persons
- Solar-powered thermal imaging cameras for remote areas
- Intelligent alarm systems for remote monitoring and instant notifications
Data analysis and decision support
- Integration of IoT data, satellite imagery and AI-analysed video
- Real-time analytics and recommendations through machine learning
- Forecasting models for yields, disease outbreaks and market trends based on historical and real-time data
With these comprehensive farm monitoring services, including AI-assisted video surveillance, we help farmers run their operations more efficiently and sustainably, optimise resources and increase yields, while protecting their facilities and animals with advanced monitoring and alarm systems.
Intelligent security solutions protect against unauthorised access, detect potential hazards early and enable a rapid response to emergencies, improving both the protection of property and the welfare of animals.