Moisture content monitoring in industrial-scale composting systems using low-cost sensor-based machine learning techniques

•Low-cost real-time monitoring for industrial composting is a challenge.•Moisture measurement in composting through a capacitive sensor was validated.•Machine learning enables self-adjustment for different composts.•Portable sensors eliminate the need to send samples to laboratories.•The IBK algorithm allows sensor self-adjustment.