Increasing food production with limited natural resources under a changing climate is a major challenge to meet the needs of growing global population. Digital technologies like robotics, sensors, drone, and remote sensing can transform the future of agriculture and increase food production sustainably with limited resources. However, the faster adoption of these technologies in agriculture can be hindered by high investment costs, ineffective performance of technology, and inadequate training of farmers. In this study, we developed the framework for the digital agriculture technology readiness levels (DATRL) to systematically evaluate technology maturity to meet the end user needs and economic benefits. Furthermore, we emphasized the need for targeted skill-building programs to bridge the knowledge gap between digital technology and farmers for faster adoption. A case study learning module on 3D printing technology in agriculture was developed to train the end users while assessing their readiness level in agriculture.