Cost Effective IoT in Ag, The CropQuant in-field phenotyping platform

Daniel Reynolds is a Plant Phenomics Scientific Programmer at the Earlham Institute. He is developing and improving CropQuant, by refining the crop monitoring work station, enhancing the platform infrastructure and existing software applications. At REAP 2016, Daniel spoke about the CropQuant in-field platform, which aims to provide a low power and low cost crop monitoring solution. CropQuant workstations can provide in-field imaging, environmental factor and plant growth monitoring, and lodging risk assessment.

It is successfully being used in field experiments, having captured data at the Norwich Research Park for two years. By working with the agricultural industry and industrial partners, the aim is to make CropQuant available commercially on a wide scale, putting into practice the ‘Internet of Things’ in agriculture.