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Greer, K

Grignani, C

Goldwasser, Y

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Authors

Greer, K

Burns, J

Bremer, E

Greer, K

Cordero, E

Sacco, D

Moretti, B

Miniotti, E.F

Tenni, D

Beltarre, G

Romani, M

Grignani, C

Goldwasser, Y

Alchanati, V

Goldshtein, E

Cohen, Y

Gips, A

Nadav, I

Topics

Modeling and Geo-statistics

Optimizing Farm-level use of Spatial Technologies

In-Season Nitrogen Management

Proximal and Remote Sensing of Soil and Crop (including Phenotyping)

Type

Poster

Oral

Year

2012

2010

2018

2022

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Authors

Filter results4 paper(s) found.
1. Optimizing N, P, K, And S Application Across Landscapes In The Northern Great Plains Using The Plant Root Simulator (PRS™ ) Technology. Early papers on precision farming focused on variable rate fertilization and variable spraying technology (Roberts, 1996). The adoption of this 1st round of precision farming was acknowledged to be a “dead horse” (Mangold, 2000). These authors put forward the notion that farmers needed better tools to decide if the intensive management of fertilizer would result in a significant reduction in input costs, or a significant increase in crop yields. ... K. Greer Download paper
2. Evaluation of PRS(TM) Probe Technology and Model for Variable Rate Fertilizer Application in Hummocky Fields in Saskatchewan ... K. Greer, J. Burns, E. Bremer Download paper
3. Deriving Fertiliser VRA Calibration Based on Ground Sensing Data from Specific Field Experiments Nitrogen (N) fertilisation affects both rice yield and quality. In order to improve grain yield while limiting N losses, providing N fertilisers during the critical growth stages is essential. NDRE is considered a reliable crop N status indicator, suitable to drive topdressing N fertilisation in rice. A multi-year experiment on different rice varieties (Gladio, Centauro, and Carnaroli) was conducted between 2011 and 2017 in Castello d’Agogna (PV), northwest Italy, with the aim of i) establishing... E. Cordero, D. Sacco, B. Moretti, E.F. Miniotti, D. Tenni, G. Beltarre, M. Romani, C. Grignani Download paper
4. The Use of Spatial and Temporal Measures to Enhance the Sensitivity of Satellite-based Spectral Vegetation Indices to (Water) Stress in Maize Fields Climate change and water scarcity are reducing the available irrigation water for agriculture thus turning it into a limited resource. Today calculating and estimating crop water requirements are achieved through the ETc FAO-56 model where the effect of climate on crop water requirement is determined through the water evaporation from the soil and plant (ETref), and a calendar crop coefficient (Kc). Models that... Y. Goldwasser, V. Alchanati, E. Goldshtein, Y. Cohen, A. Gips, I. Nadav Download paper

Filter results4 paper(s) found.

1. Optimizing N, P, K, And S Application Across Landscapes In The Northern Great Plains Using The Plant Root Simulator (PRS™ ) Technology.

Early papers on precision farming focused on variable rate fertilization and variable spraying technology (Roberts, 1996). The adoption of this 1st round of precision farming was acknowledged to be a “dead horse” (Mangold, 2000). These authors put forward the notion that farmers needed better tools to decide if the intensive management of fertilizer would result in a significant reduction in input costs, or a significant increase in crop yields. ... K. Greer

Download paper

2. Evaluation of PRS(TM) Probe Technology and Model for Variable Rate Fertilizer Application in Hummocky Fields in Saskatchewan

... K. Greer, J. Burns, E. Bremer

Download paper

3. Deriving Fertiliser VRA Calibration Based on Ground Sensing Data from Specific Field Experiments

Nitrogen (N) fertilisation affects both rice yield and quality. In order to improve grain yield while limiting N losses, providing N fertilisers during the critical growth stages is essential. NDRE is considered a reliable crop N status indicator, suitable to drive topdressing N fertilisation in rice. A multi-year experiment on different rice varieties (Gladio, Centauro, and Carnaroli) was conducted between 2011 and 2017 in Castello d’Agogna (PV), northwest Italy, with the aim of i) establishing... E. Cordero, D. Sacco, B. Moretti, E.F. Miniotti, D. Tenni, G. Beltarre, M. Romani, C. Grignani

Download paper

4. The Use of Spatial and Temporal Measures to Enhance the Sensitivity of Satellite-based Spectral Vegetation Indices to (Water) Stress in Maize Fields

Climate change and water scarcity are reducing the available irrigation water for agriculture thus turning it into a limited resource. Today calculating and estimating crop water requirements are achieved through the ETc FAO-56 model where the effect of climate on crop water requirement is determined through the water evaporation from the soil and plant (ETref), and a calendar crop coefficient (Kc). Models that... Y. Goldwasser, V. Alchanati, E. Goldshtein, Y. Cohen, A. Gips, I. Nadav

Download paper