Effects of Variable Rate Nitrogen Application on cv. Barbera Performance: Yield and Grape Composition

2019 ◽  
Vol 70 (2) ◽  
pp. 188-200 ◽  
Author(s):  
Matteo Gatti ◽  
Cecilia Squeri ◽  
Alessandra Garavani ◽  
Tommaso Frioni ◽  
Paolo Dosso ◽  
...  
2018 ◽  
Vol 69 (3) ◽  
pp. 196-209 ◽  
Author(s):  
Matteo Gatti ◽  
Cecilia Squeri ◽  
Alessandra Garavani ◽  
Alberto Vercesi ◽  
Paolo Dosso ◽  
...  

2020 ◽  
Vol 112 ◽  
pp. 125949 ◽  
Author(s):  
M. Gatti ◽  
M. Schippa ◽  
A. Garavani ◽  
C. Squeri ◽  
T. Frioni ◽  
...  

2001 ◽  
Author(s):  
C. G. Bowers ◽  
G. T. Roberson ◽  
D. K. Cassel ◽  
G. C. Naderman ◽  
Cavell Brownie

Agronomy ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2098
Author(s):  
Marco Sozzi ◽  
Ahmed Kayad ◽  
Stefano Gobbo ◽  
Alessia Cogato ◽  
Luigi Sartori ◽  
...  

Defining the most profitable remote sensing platforms is a difficult decision-making process, as it requires agronomic and economic considerations. In this paper, the price and profitability of three levels of remote sensing platforms were evaluated to define a decision-making process. Prices of satellite, plane and UAV-acquired vegetation indices were collected in Italy during 2020 and compared to the economic benefits resulting from variable rate nitrogen application, according to a bibliographic meta-analysis performed on grains. The quality comparison of these three technologies was performed considering the error propagation in the NDVI formula. The errors of the single bands were used to assess the optical properties of the sensors. Results showed that medium-resolution satellite data with good optical properties could be profitably used for variable rate nitrogen applications starting from 2.5 hectares, in case of medium resolution with good optical properties. High-resolution satellites with lower optical quality were profitable starting from 13.2 hectares, while very high-resolution satellites with good optical properties could be profitably used starting from 76.8 hectares. Plane-acquired images, which have good optical properties, were profitable starting from 66.4 hectares. Additionally, a reference model for satellite image price is proposed.


2020 ◽  
Vol 189 ◽  
pp. 24-35 ◽  
Author(s):  
Meina Zhang ◽  
Jianfeng Zhou ◽  
Kenneth A. Sudduth ◽  
Newell R. Kitchen

2017 ◽  
Vol 8 (2) ◽  
pp. 792-795 ◽  
Author(s):  
G. Portz ◽  
M. L. Gnyp ◽  
J. Jasper

This study aims to evaluate actual biomass and N-uptake estimates with the Yara N-Sensor in intensively managed grass swards across several trial sites in Europe. The dataset was split by location into an independent calibration data (UK and Finland) and a validation data (Germany) for the first two cuts. Yara N-Sensor readings were better correlated with N-uptake (R2=0.71) than actual biomass (R2=0.53) for the 1st cut. At the 2nd cut, the R2 values for both parameters were higher (0.80 and 0.56). A cross-validation with a German grass trial indicated the potential for predicting N-uptake (R2>0.8). It can be concluded that the technology has the potential to guide management decisions and variable rate nitrogen application on European grass swards.


2004 ◽  
Vol 96 (6) ◽  
pp. 1572-1580 ◽  
Author(s):  
B. Koch ◽  
R. Khosla ◽  
W. M. Frasier ◽  
D. G. Westfall ◽  
D. Inman

2021 ◽  
Vol 192 ◽  
pp. 103147
Author(s):  
Michael Friis Pedersen ◽  
Jacob Glerup Gyldengren ◽  
Søren Marcus Pedersen ◽  
Efstathios Diamantopoulos ◽  
René Gislum ◽  
...  

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