Agriculture is fundamental to our existence. As our world grows, agriculture productivity must increase to keep pace without reducing profits or increasing environmental resource usage. This requires continuous optimization of agriculture processes. We cannot optimize something that we cannot measure accurately. Crop monitoring is an essential activity that provides such measurements on crop status and it is largely a manual endeavor. The process is highly dependent on the experience of the person walking the field and does not always provide objective data. Attempts to automate crop monitoring have had limited adoption. Agrofocal is building a system with computer vision and AI for crop monitoring that solves the challenges that have limited its adoption thus far. Our solution provides useful insights in real-time, is easy to use, and is affordable. It will enable farmers across the globe to make informed decisions based on objective crop measurements. The insights provided by this technology will drive efficiencies in agriculture that will increase production, reduce costs, and lessen environmental impact. These efficiencies will positively change agriculture to the benefit of everyone.