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SALCEDO, R
Sripada, R.P
Sanches, G
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Authors
Fontenelli, J.V
Amaral, L.R
Demattê, J.M
Magalhães, P.G
Sanches, G
Sripada, R.P
Schmidt, J.P
Gil, E
Garcia-Ruíz, F
BISCAMPS, J
SALCEDO, R
CAMPOS, J
Topics
Proximal Sensing in Precision Agriculture
Remote Sensing for Nitrogen Management
Precision Crop Protection
Type
Poster
Oral
Year
2016
2008
2024
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1. Soil Attributes Estimation Based on Diffuse Reflectance Spectroscopy and Topographic Variability

The local management of crop areas, which is the basic concept of precision agriculture, is essential for increasing crop yield. In this context, diffuse reflectance spectroscopy (DRS) and digital elevation modelling (DEM) appears as an important technique for determining soil properties, on an adequate scale to agricultural management, enabling faster and less costly evaluations in soil studies. The objective of this work was to evaluate the use of DRS together with topographic parameters for... J.V. fontenelli, L.R. Amaral, J.M. Demattê, P.G. Magalhães, G. Sanches

2. Variability in Observed and Sensor Based Estimated Optimum N Rates in Corn

Recent research showed that active sensors such as Crop Circle can be used to estimate in-season N requirements for corn. The objective of this research was to identify sources of variability in the observed and Crop Circle-estimated optimum N rates. Field experiments were conducted at two locations for a total of five sites during the 2007 growing season using a randomized complete block design with increasing N rates applied at V6-V8 (NV6) as the treatment factor. Field sites were selected from... R.P. Sripada, J.P. Schmidt

3. Variable Rate Application to Improve Cro Protection in Orchards and Vineyards. Prescription Maps and Satellites to Accomplish EU Farm to Fork Strategy

Accurate canopy characterization is crucial for a targeted application of plant protection products following variable rate application (VRA) concept. Remote sensing offers a robust and rapid monitoring tool that allows determining the characteristics of the vegetation from aerial platforms at different spatial resolutions. Previous work have demonstrated that drone-based imagery can be used to estimate canopy height, width, and canopy volume accurately enough to allow a full automation of VRA... E. Gil, F. Garcia-ruíz, J. Biscamps, R. Salcedo, J. Campos