In-field estimation of fruit quality and quantity

Editorial for Agronomy, volume 12, issue 5. The Special Issue “In-Field Estimation of Fruit Quality and Quantity” presents a collection of eight articles. The topic is reviewed by Anderson et al. [1] with attention to the use of temperature monitoring and non-invasive NIRS assessment of fruit attributes in the forecasting of harvest timing, the use of in-field machine vision for a direct assessment of the fruit load, and UAV or satellite multispectral imaging, or extrapolation of historical yield data, for an indirect assessment of fruit load. Given that the different technologies measure harvest timing and load in different ways, the various estimates are complimentary.