Machine learning-based in-season nitrogen status diagnosis and side-dress nitrogen recommendation for corn

•Corn NNI was accurately predicted using proximal sensor and ancillary data with machine learning methods.•Corn yield was accurately predicted by combining sensor data and ancillary data.•An innovative RFR model-based in-season N management strategy was developed.•Sensor data should be used together with soil, weather and management information.