@tedesco, PhD.
Precision Agriculture & Remote Sensing & Digital Tools & Data Science
Remote sensing on alfalfa as an approach to optimize production outcomes: a review of evidence and directions for future assessments
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]
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]
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]
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]
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]
Convolutional neural networks in predicting cotton yield from images of commercial fields [COMPAG - Elsevier]
One way to improve the quality of mechanized cotton harvesting is to change harvester settings and adjustments throughout the process, according to in…
Assessing intra-row spacing using image processing: a promising digital tool for smallholder farmers [Agronomy - MDPI]
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]
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]
High-resolution satellite image to predict peanut maturity variability in commercial fields [PRAG - Springer]
One of the main problems in the peanut production process is to identify the pod maturity stage. Peanut plants have indeterminate growth, which leads to a
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