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Response of nearby sensors to variable doses of nitrogen fertilization in winter fodder crops under Mediterranean climate

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Resumo:The sustainable intensification of forage production in Mediterranean climates requires technological solutions that optimize the use of agricultural inputs. This study aimed to evaluate the performance of proximal optical sensors in recommending and monitoring variable rate nitrogen fertilization in winter forage crops cultivated under Mediterranean conditions. A handheld multispectral active sensor (HMA), a multispectral camera on an unmanned aircraft vehicle (UAV), and one passive on-the-go sensor (OTG) were used to generate real-time nitrogen (N) application prescriptions. The sensors were assessed for their correlation with agronomic parameters such as plant fresh matter (PFM), plant dry matter (PDM), plant N content (PNC), crude protein (CP) in%, crude protein yield (CPyield) per unit of area, and N uptake (NUp). The real-time N fertilization stood out by promoting a 15.23% reduction in the total N fertilizer applied compared to a usual farmer-fixed dose of 150 kg ha−1, saving 22.90 kg ha−1 without compromising crop productivity. Additionally, NDVI_OTG showed moderate simple linear correlation with PFM (R2 = 0.52), confirming its effectiveness in prescription based on vegetative vigor. UAV_II (NDVI after fertilization) showed even stronger correlations with CP (R2 = 0.58), CPyield (R2 = 0.53), and NUp (R2 = 0.53), highlighting its sensitivity to physiological responses induced by N fertilization. Although the HMA sensor operates via point readings, it also proved effective, with significant correlations to NUp (R2 = 0.55) and CPyield (R2 = 0.53). It is concluded that integrating sensors enables both precise input prescription and efficient monitoring of plant physiological responses, fostering cost-effectiveness, sustainability, and improved agronomic efficiency.
Autores principais:Silva, Luís
Outros Autores:Brunelli, Caroline; Moreira, Raphael; Barbosa, Sofia; Fernandes, Manuela; Miguel, Andreia; Maçãs, Benvindo; Valero, Constantino; Lidon, Fernando Cebola; Conceição, Luís Alcino; Patanita, Manuel
Assunto:Real-time fertilization Automation Data analysis Monitoring Remote sensing Geographic information systems Sustainability
Ano:2025
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Beja
Idioma:inglês
Origem:Repositório Institucional do IPBeja
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author Silva, Luís
author2 Brunelli, Caroline
Moreira, Raphael
Barbosa, Sofia
Fernandes, Manuela
Miguel, Andreia
Maçãs, Benvindo
Valero, Constantino
Lidon, Fernando Cebola
Conceição, Luís Alcino
Patanita, Manuel
author2_role author
author
author
author
author
author
author
author
author
author
author_facet Silva, Luís
Brunelli, Caroline
Moreira, Raphael
Barbosa, Sofia
Fernandes, Manuela
Miguel, Andreia
Maçãs, Benvindo
Valero, Constantino
Lidon, Fernando Cebola
Conceição, Luís Alcino
Patanita, Manuel
author_role author
country_str PT
creators_json_txt [{\"Person.name\":\"Silva, Luís\"},{\"Person.name\":\"Brunelli, Caroline\"},{\"Person.name\":\"Moreira, Raphael\"},{\"Person.name\":\"Barbosa, Sofia\"},{\"Person.name\":\"Fernandes, Manuela\"},{\"Person.name\":\"Miguel, Andreia\"},{\"Person.name\":\"Maçãs, Benvindo\"},{\"Person.name\":\"Valero, Constantino\"},{\"Person.name\":\"Lidon, Fernando Cebola\"},{\"Person.name\":\"Conceição, Luís Alcino\"},{\"Person.name\":\"Patanita, Manuel\"}]
datacite.creators.creator.creatorName.fl_str_mv Silva, Luís
Brunelli, Caroline
Moreira, Raphael
Barbosa, Sofia
Fernandes, Manuela
Miguel, Andreia
Maçãs, Benvindo
Valero, Constantino
Lidon, Fernando Cebola
Conceição, Luís Alcino
Patanita, Manuel
datacite.date.Accepted.fl_str_mv 2025-09-17T00:00:00Z
datacite.date.available.fl_str_mv 2026-04-01T11:14:44Z
datacite.date.embargoed.fl_str_mv 2026-04-01T11:14:44Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Real-time fertilization
Automation
Data analysis
Monitoring
Remote sensing
Geographic information systems
Sustainability
datacite.titles.title.fl_str_mv Response of nearby sensors to variable doses of nitrogen fertilization in winter fodder crops under Mediterranean climate
dc.creator.none.fl_str_mv Silva, Luís
Brunelli, Caroline
Moreira, Raphael
Barbosa, Sofia
Fernandes, Manuela
Miguel, Andreia
Maçãs, Benvindo
Valero, Constantino
Lidon, Fernando Cebola
Conceição, Luís Alcino
Patanita, Manuel
dc.date.Accepted.fl_str_mv 2025-09-17T00:00:00Z
dc.date.available.fl_str_mv 2026-04-01T11:14:44Z
dc.date.embargoed.fl_str_mv 2026-04-01T11:14:44Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://repositorio.ipbeja.pt/handle/20.500.12207/7316
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv MDPI
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Real-time fertilization
Automation
Data analysis
Monitoring
Remote sensing
Geographic information systems
Sustainability
dc.title.fl_str_mv Response of nearby sensors to variable doses of nitrogen fertilization in winter fodder crops under Mediterranean climate
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description The sustainable intensification of forage production in Mediterranean climates requires technological solutions that optimize the use of agricultural inputs. This study aimed to evaluate the performance of proximal optical sensors in recommending and monitoring variable rate nitrogen fertilization in winter forage crops cultivated under Mediterranean conditions. A handheld multispectral active sensor (HMA), a multispectral camera on an unmanned aircraft vehicle (UAV), and one passive on-the-go sensor (OTG) were used to generate real-time nitrogen (N) application prescriptions. The sensors were assessed for their correlation with agronomic parameters such as plant fresh matter (PFM), plant dry matter (PDM), plant N content (PNC), crude protein (CP) in%, crude protein yield (CPyield) per unit of area, and N uptake (NUp). The real-time N fertilization stood out by promoting a 15.23% reduction in the total N fertilizer applied compared to a usual farmer-fixed dose of 150 kg ha−1, saving 22.90 kg ha−1 without compromising crop productivity. Additionally, NDVI_OTG showed moderate simple linear correlation with PFM (R2 = 0.52), confirming its effectiveness in prescription based on vegetative vigor. UAV_II (NDVI after fertilization) showed even stronger correlations with CP (R2 = 0.58), CPyield (R2 = 0.53), and NUp (R2 = 0.53), highlighting its sensitivity to physiological responses induced by N fertilization. Although the HMA sensor operates via point readings, it also proved effective, with significant correlations to NUp (R2 = 0.55) and CPyield (R2 = 0.53). It is concluded that integrating sensors enables both precise input prescription and efficient monitoring of plant physiological responses, fostering cost-effectiveness, sustainability, and improved agronomic efficiency.
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eu_rights_str_mv openAccess
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identifier.url.fl_str_mv https://repositorio.ipbeja.pt/handle/20.500.12207/7316
instacron_str ipb
institution Instituto Politécnico de Beja
instname_str Instituto Politécnico de Beja
language eng
network_acronym_str ripb
network_name_str Repositório Institucional do IPBeja
oai_identifier_str oai:repositorio.ipbeja.pt:20.500.12207/7316
organization_str_mv urn:organizationAcronym:ipb
person_str_mv Silva, Luís
Brunelli, Caroline
Moreira, Raphael
Barbosa, Sofia
Fernandes, Manuela
Miguel, Andreia
Maçãs, Benvindo
Valero, Constantino
Lidon, Fernando Cebola
Conceição, Luís Alcino
Patanita, Manuel
publishDate 2025
publisher.none.fl_str_mv MDPI
reponame_str Repositório Institucional do IPBeja
repository_id_str urn:repositoryAcronym:ripb
service_str_mv urn:repositoryAcronym:ripb
spelling The sustainable intensification of forage production in Mediterranean climates requires technological solutions that optimize the use of agricultural inputs. This study aimed to evaluate the performance of proximal optical sensors in recommending and monitoring variable rate nitrogen fertilization in winter forage crops cultivated under Mediterranean conditions. A handheld multispectral active sensor (HMA), a multispectral camera on an unmanned aircraft vehicle (UAV), and one passive on-the-go sensor (OTG) were used to generate real-time nitrogen (N) application prescriptions. The sensors were assessed for their correlation with agronomic parameters such as plant fresh matter (PFM), plant dry matter (PDM), plant N content (PNC), crude protein (CP) in%, crude protein yield (CPyield) per unit of area, and N uptake (NUp). The real-time N fertilization stood out by promoting a 15.23% reduction in the total N fertilizer applied compared to a usual farmer-fixed dose of 150 kg ha−1, saving 22.90 kg ha−1 without compromising crop productivity. Additionally, NDVI_OTG showed moderate simple linear correlation with PFM (R2 = 0.52), confirming its effectiveness in prescription based on vegetative vigor. UAV_II (NDVI after fertilization) showed even stronger correlations with CP (R2 = 0.58), CPyield (R2 = 0.53), and NUp (R2 = 0.53), highlighting its sensitivity to physiological responses induced by N fertilization. Although the HMA sensor operates via point readings, it also proved effective, with significant correlations to NUp (R2 = 0.55) and CPyield (R2 = 0.53). It is concluded that integrating sensors enables both precise input prescription and efficient monitoring of plant physiological responses, fostering cost-effectiveness, sustainability, and improved agronomic efficiency.application/pdfengMDPIResponse of nearby sensors to variable doses of nitrogen fertilization in winter fodder crops under Mediterranean climateSilva, LuísBrunelli, CarolineMoreira, RaphaelBarbosa, SofiaFernandes, ManuelaMiguel, AndreiaMaçãs, BenvindoValero, ConstantinoLidon, Fernando CebolaConceição, Luís AlcinoPatanita, ManuelURLhttps://repositorio.ipbeja.pt/handle/20.500.12207/7316ISSNIsPartOf1424-8220DOIIsPartOf10.3390/s251858112026-04-01T11:14:44Z2025-09-17T00:00:00Z2025-09-17http://purl.org/coar/access_right/c_abf2open accessReal-time fertilizationAutomationData analysisMonitoringRemote sensingGeographic information systemsSustainability11610107 byteshttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.ipbeja.pt/bitstreams/1732355f-1185-4712-b962-3945a0bc1779/downloadliteraturehttp://purl.org/coar/resource_type/c_6501journal article
spellingShingle Response of nearby sensors to variable doses of nitrogen fertilization in winter fodder crops under Mediterranean climate
Silva, Luís
Real-time fertilization
Automation
Data analysis
Monitoring
Remote sensing
Geographic information systems
Sustainability
status SINGLETON
subject.fl_str_mv Real-time fertilization
Automation
Data analysis
Monitoring
Remote sensing
Geographic information systems
Sustainability
title Response of nearby sensors to variable doses of nitrogen fertilization in winter fodder crops under Mediterranean climate
title_full Response of nearby sensors to variable doses of nitrogen fertilization in winter fodder crops under Mediterranean climate
title_fullStr Response of nearby sensors to variable doses of nitrogen fertilization in winter fodder crops under Mediterranean climate
title_full_unstemmed Response of nearby sensors to variable doses of nitrogen fertilization in winter fodder crops under Mediterranean climate
title_short Response of nearby sensors to variable doses of nitrogen fertilization in winter fodder crops under Mediterranean climate
title_sort Response of nearby sensors to variable doses of nitrogen fertilization in winter fodder crops under Mediterranean climate
topic Real-time fertilization
Automation
Data analysis
Monitoring
Remote sensing
Geographic information systems
Sustainability
topic_facet Real-time fertilization
Automation
Data analysis
Monitoring
Remote sensing
Geographic information systems
Sustainability
url https://repositorio.ipbeja.pt/handle/20.500.12207/7316
visible 1