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Gombos, B
Chen, S
Casiero, D.P
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Authors
Marasca, I
Casiero, D.P
Guerra, S.P
Lanças, K.P
Spadim, E.R
Bodnár, K.B
Nagy, J
Gombos, B
Li, D
Jiang, H
Chen, S
Wang, C
Topics
Engineering Technologies and Advances
Smart Weather for Precision Agriculture
In-Season Nitrogen Management
Type
Oral
Poster
Year
2014
2018
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Filter results3 paper(s) found.

1. Development Of An Hydraulic Penetrometer Data Acquisition Software

Currently , in addition to increased production , the costs reduction are focused in order to increase efficiency in production, so the modern agriculture intent to find planting methods which extract the maximum possible data about the used area for making possible to do this preparation in the most appropriate manner, considering the shortcomings of evaluating these data. This method is contained in the concepts of an agricultural practice that has been steadily growing,  the... I. Marasca, D.P. Casiero, S.P. Guerra, K.P. Lanças, E.R. Spadim

2. Correlations Between Meteorological Parameters and the Water Loss of Maize from Silking to Harvesting

The University of Debrecen provides outstanding conditions for the development of “Smart Weather for Precision Agriculture” programs. The reliability of research is provided by the Polyfactoral Long-term Field Experiments of Debrecen (hybrid x fertilisation x plant density x tillage x irrigation) established in 1983. Within this research program, it is possible to examine various crop cultures, cultivars and hybrids under changing natural, environmental and weather circumstances,... K.B. Bodnár, J. Nagy, B. Gombos

3. Estimating Litchi Canopy Nitrogen Content Using Simulated Multispectral Remote Sensing Data

This study aims at evaluating the performance of seven highly spatial resolution remote sensing data in litchi canopy nitrogen content estimation. The litchi canopy reflectance were collected by ASD field spectrometer. Then the canopy spectral data were resampled based on the spectral response functions of each satellite sensors (Geo-eye, GF-WFV1, Rapid-eye, WV-2, Landsat 8, WV-3, and Sentinel-2). The spectral indices in literature were derived based on the simulated data. Meanwhile, the successive... D. Li, H. Jiang, S. Chen, C. Wang