@tedesco, PhD.

Remote sensing on alfalfa as an approach to optimize production outcomes: a review of evidence and directions for future assessments

The time of day is key to discriminate cultivars of sugarcane upon imagery data from unmanned aerial vehicle [Drones - MDPI]

UAVs to monitor and manage sugarcane: integrative review [Agronomy - MDPI]

Predicting on multi-target regression for the yield of sweet potato by the market class of its roots upon vegetation indices [COMPAG - Elsevier]

Use of remote sensing to characterize the phenological development and to predict sweet potato yield in two growing seasons [EURAGR - Elsevier]

Convolutional neural networks in predicting cotton yield from images of commercial fields [COMPAG - Elsevier]

Assessing intra-row spacing using image processing: a promising digital tool for smallholder farmers [Agronomy - MDPI]

Mapping gaps in sugarcane by UAV RGB imagery: the lower and earlier the flight, the more accurate [Agronomy - MDPI]

High-resolution satellite image to predict peanut maturity variability in commercial fields [PRAG - Springer]