A framework for predicting soft-fruit yields and phenology using embedded, networked microsensors, coupled weather models and machine-learning techniques
M. Lee, A. Monteiro, A. Barclay, J. Marcar, M. Miteva-Neagu, J. Parker
This paper develops a framework using microsensors, weather models, and machine learning to predict soft fruit yields and phenology with higher accuracy.
bioRxiv · Mar 4, 2019Plant Biology