Smart technology is playing a vital role in making crop management decisions (Awan et al., 2018). However, advanced high throughput technologies may be a significant adoption challenge for small-scale rice growers in Cambodia due to cost and accessibility. Hence, developing algorithm to predict yield in-season using cost-effective technologies is a better intervention to support Cambodian rice growers. GreenSeeker-NDVI and Canopeo are potentially emerging affordable tools that can produce a working algorithm to support small-scale rice growers. Thus, we hypothesized that low-cost sensors can predict yield in small-sale rice fields. Therefore, the objective of the study is to calibrate a working algorithm for predicting yield in small-scale rice fields in northwest Cambodia.