Farmers need to know the moisture content of grain in order to store it safely. This paper describes algorithms, with very low computational cost, to predict grain moisture. The input data are time-series of relative humidity from a low-cost device that was designed to serve smallholder farmers in Africa.

This paper is available at grain moisture algorithms

A local copy is here.