Data collection for agricultural field research can be cumbersome and tedious. Researchers commonly use multiple sensors to gather data from plants, soil and air—all at the same time. The result can be an armload of technology that needs to be carried into the field, each with its own data logging system. And at the end of it all waits complicated post-processing assembly of the disparate data.
Enter the Cornell Agricultural Testbed and Demonstration Site (CAST) for the Farm of the Future. The interdisciplinary team of researchers at CAST are creating an ecosystem of networked technologies and techniques to meet the needs of 21st-century farms. That can mean everything from testing and integrating biosensors that monitor the health of individual dairy cows to developing a process for assessing crop fertilizer application via drones and satellites.
“CAST is a framework for the development and testing of data-driven solutions to today’s most pressing farm challenges,” said Dr. Julio Giordano, professor of animal science and CAST director. “Along with that, CAST also facilitates solving technological issues associated with digital agriculture research.”