Erratum: Maresma, A., et al. Analysis of Vegetation Indices to Determine Nitrogen Application and Yield Prediction in Maize (Zea mays L.) from a Standard UAV Service. Remote Sens. 2017, 9, 648
Maresma Galindo, Ángel
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Is part ofRemote Sensing, 2018, vol. 10, núm. 368
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Analysis of vegetation indices to determine nitrogen application and yield prediction in maize (Zea mays L.) from a standard UAV service Maresma Galindo, Ángel; Ariza, Mar; Martínez, Elías; Lloveras Vilamanyà, Jaume; Martínez Casasnovas, José Antonio (MDPI, 2016)The growing use of commercial unmanned aerial vehicles (UAV) and the need to adjust N fertilization rates in maize (Zea mays L.) currently constitute a key research issue. In this study, different multispectral vegetation ...
Use of multispectral airborne images to improve in-season nitrogen management, predict grain yield and estimate economic return of maize in irrigated high yielding environments Maresma Galindo, Ángel; Lloveras Vilamanyà, Jaume; Martínez Casasnovas, José Antonio (MDPI, 2018)Vegetation indices (VIs) derived from active or passive sensors have been used for maize growth monitoring and real-time nitrogen (N) management at field scale. In the present multilocation two-year study, multispectral ...
Nitrogen management in double-annual cropping system (barley-maize) under irrigated Mediterranean environments Maresma Galindo, Ángel; Martínez Casasnovas, José Antonio; Santiveri Morata, Paquita; Lloveras Vilamanyà, Jaume (Elsevier, 2019-02)Improving nitrogen (N) use efficiency (NUE) is an agricultural necessity, as it can contribute to increasing crop productivity, while decreasing environmental degradation. Double-annual cropping systems can reduce N losses ...