Precision Farming allows us to manage farms sustainably, animal friendly, and labour efficient. This is achieved by precise dosage, timing, and allocation of inputs like energy, fertilizer, pesticides, fresh water, and antibiotics. The key challenge to create the intelligence required to manage complex processes under uncertain, and variable circumstances.
Our Precision Farming team develops strategies for creating intelligence in the form of prognosis, diagnosis, and control. Key methods from Systems and Control are mathematical modelling of physical and physiological system processes, feedback control, model predictive control, adaptive control, state filtering, and systems identification. Key methodologies to deal with uncertainty, and variation are data analysis, machine learning, experimental calibration and validation.