MATLAB and Simulink are used by engineers, researchers, and agritech companies to develop and test technologies across the agricultural value chain. These products support applications such as intelligent machinery, digital farming, and renewable energy systems, helping teams streamline development and explore sustainable solutions.
With MATLAB and Simulink, you can:
- Design and simulate control systems for autonomous tractors, harvesters, and irrigation equipment
- Apply AI and machine learning to analyze crop health, predict yields, and classify plant diseases
- Model and optimize environmental systems such as soil moisture, nutrient flow, and water usage
- Shorten time-to-market with automatic embedded code generation for farm machinery and IoT devices
- Gain deeper insights from drones, sensors, and satellites by analyzing and visualizing large datasets
Develop Smart Agricultural Machinery
Design and test control systems, perception algorithms, and autonomous capabilities for:
- Tractors, harvesters, and sprayers
- Autonomous navigation and obstacle avoidance
- Sensor fusion and real-time data processing
- Predictive maintenance and diagnostics
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Implement and Leverage Digital Agriculture
Leverage data analytics, AI, and modeling to optimize farming operations such as:
- Crop yield prediction using imagery from satellite and drone data
- Machine learning for disease detection and classification
- IoT integration for real-time monitoring of field conditions
- Decision support systems for precision agriculture
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Optimize Energy Use in Agricultural Systems
Design and optimize renewable energy systems for agricultural use:
- Solar-powered irrigation and machinery
- Wind and biomass energy modeling
- Energy storage and grid integration
- Hybrid system simulation and control
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Products
Learn about the products used for agricultural applications.
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