Estimation of maize yield and effects of variable-rate nitrogen application using UAV-based RGB imagery

AbstractStriga hermonthica infestation causes significant losses of maize yield in the Nigerian savannas and several technologies have been developed and promoted to control Striga in maize. However, since no single technology has been found to be effective against Striga, integrated management is needed to achieve satisfactory and sustainable Striga control. Both on-station and on-farm trials were undertaken from 2013 to 2015 in Bauchi and Kano States of Nigeria to evaluate the performance of integrated Striga control technologies. In the on-station trials, a soybean–maize rotation did not suppress Striga in maize in either location. However, nitrogen application suppressed and reduced Striga infection, except in Bauchi in 2014. The soybean–maize rotation accompanied by N application reduced Striga damage in both locations. On farmers’ fields, rotating soybean with maize significantly reduced Striga infection. At the same time, the use of maize varieties with a combined tolerance to drought and resistance to Striga parasitism also increased maize grain yield on farmers’ fields, probably due to three factors: a reduction in Striga infection, reduced effects of a mid-season moisture deficit, and increased uptake of nutrients from the soil. We concluded that the use of Striga-resistant maize varieties in combination with the application of N fertilizer and rotation with soybean could increase the productivity of maize in Striga-infested fields in the Nigerian savannas.

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Effects of Variable Rate Nitrogen Application on cv. Barbera Performance: Vegetative Growth and Leaf Nutritional Status

American Journal of Enology and Viticulture ◽

10.5344/ajev.2018.17084 ◽

2018 ◽

Vol 69 (3) ◽

pp. 196-209 ◽

Cited By ~ 4

Author(s):

Matteo Gatti ◽

Cecilia Squeri ◽

Alessandra Garavani ◽

Alberto Vercesi ◽

Paolo Dosso ◽

...

Keyword(s):

Nutritional Status ◽

Vegetative Growth ◽

Variable Rate ◽

Nitrogen Application ◽

Cv Barbera

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Identifying critical nitrogen application rate for maize yield and nitrate leaching in a Haplic Luvisol soil using the DNDC model

The Science of The Total Environment ◽

10.1016/j.scitotenv.2015.02.022 ◽

2015 ◽

Vol 514 ◽

pp. 388-398 ◽

Cited By ~ 38

Author(s):

Yitao Zhang ◽

Hongyuan Wang ◽

Shen Liu ◽

Qiuliang Lei ◽

Jian Liu ◽

...

Keyword(s):

Nitrate Leaching ◽

Maize Yield ◽

Application Rate ◽

Nitrogen Application ◽

Dndc Model ◽

Nitrogen Application Rate

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Maize yield and water balance is affected by nitrogen application in a film-mulching ridge–furrow system in a semiarid region of China

European Journal of Agronomy ◽

10.1016/j.eja.2013.10.001 ◽

2014 ◽

Vol 52 ◽

pp. 103-111 ◽

Cited By ~ 76

Author(s):

Chang-An Liu ◽

Li-Min Zhou ◽

Ju-Jie Jia ◽

Li-Jun Wang ◽

Jian-Ting Si ◽

...

Keyword(s):

Water Balance ◽

Maize Yield ◽

Semiarid Region ◽

Nitrogen Application ◽

Film Mulching

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Variable Rate Liquid Nitrogen Application for Cotton and Corn Production

10.13031/2013.5523 ◽

2001 ◽

Author(s):

C. G. Bowers ◽

G. T. Roberson ◽

D. K. Cassel ◽

G. C. Naderman ◽

Cavell Brownie

Keyword(s):

Liquid Nitrogen ◽

Variable Rate ◽

Nitrogen Application ◽

Corn Production

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Economic Comparison of Satellite, Plane and UAV-Acquired NDVI Images for Site-Specific Nitrogen Application: Observations from Italy

Agronomy ◽

10.3390/agronomy11112098 ◽

2021 ◽

Vol 11 (11) ◽

pp. 2098

Author(s):

Marco Sozzi ◽

Ahmed Kayad ◽

Stefano Gobbo ◽

Alessia Cogato ◽

Luigi Sartori ◽

...

Keyword(s):

Remote Sensing ◽

Decision Making ◽

Optical Properties ◽

High Resolution ◽

Economic Benefits ◽

Decision Making Process ◽

Variable Rate ◽

Nitrogen Application ◽

Sensing Platforms ◽

Medium Resolution

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.

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

American Journal of Enology and Viticulture ◽

10.5344/ajev.2019.18072 ◽

2019 ◽

Vol 70 (2) ◽

pp. 188-200 ◽

Cited By ~ 1

Author(s):

Matteo Gatti ◽

Cecilia Squeri ◽

Alessandra Garavani ◽

Tommaso Frioni ◽

Paolo Dosso ◽

...

Keyword(s):

Variable Rate ◽

Nitrogen Application ◽

Cv Barbera

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Capability of crop canopy sensing to predict crop parameters of cut grass swards aiming at early season variable rate nitrogen top dressings

Advances in Animal Biosciences ◽

10.1017/s2040470017001364 ◽

2017 ◽

Vol 8 (2) ◽

pp. 792-795 ◽

Cited By ~ 2

Author(s):

G. Portz ◽

M. L. Gnyp ◽

J. Jasper

Keyword(s):

Cross Validation ◽

N Uptake ◽

Calibration Data ◽

Variable Rate ◽

Nitrogen Application ◽

Crop Canopy ◽

Validation Data ◽

Intensively Managed ◽

Independent Calibration ◽

Crop Parameters

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.

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