Proceedings

Find matching any: Reset

Nigon, T.J

Nyeki, A

» Add more authors

Add filter to result:

Authors

Nigon, T.J

Rosen, C

Mulla, D

Cohen, Y

Alchanatis, V

Rud, R

Nyeki, A

Milics, G

Kovacs, A.J

Neményi, M

Kalmar, J

Topics

Remote Sensing Applications in Precision Agriculture

Precision Agriculture and Climate Change

Type

Poster

Oral

Year

2012

2016

Home » Authors » Results

Authors

Filter results2 paper(s) found.
1. Hyperspectral Imagery for the Detection of Nitrogen Stress in Potato for In-season Management ... T.J. Nigon, C. Rosen, D. Mulla, Y. Cohen, V. Alchanatis, R. Rud Download paper
2. Climate Sensitivity Analysis on Maize Yield on the Basis of Precision Crop Production In this paper by prediction we have defined maize yield in precision plant production technologies according to five different climate change scenarios (Ensembles Project) until 2100 and in one scenario until 2075 using DSSAT v. 4.5.0. CERES-Maize decision support model. Sensitivity analyses were carried out. The novelty of the method presented here is that precision, variable rate technologies from relatively small areas (in our case 2500 m2) enable a large amount of data to be collected... A. Nyeki, G. Milics, A.J. Kovacs, M. Neményi, J. Kalmar Download paper

Filter results2 paper(s) found.

1. Hyperspectral Imagery for the Detection of Nitrogen Stress in Potato for In-season Management

... T.J. Nigon, C. Rosen, D. Mulla, Y. Cohen, V. Alchanatis, R. Rud

Download paper

2. Climate Sensitivity Analysis on Maize Yield on the Basis of Precision Crop Production

In this paper by prediction we have defined maize yield in precision plant production technologies according to five different climate change scenarios (Ensembles Project) until 2100 and in one scenario until 2075 using DSSAT v. 4.5.0. CERES-Maize decision support model. Sensitivity analyses were carried out. The novelty of the method presented here is that precision, variable rate technologies from relatively small areas (in our case 2500 m2) enable a large amount of data to be collected... A. Nyeki, G. Milics, A.J. Kovacs, M. Neményi, J. Kalmar

Download paper