pedro rogerio giongo

@ueg.br

Universidade Estadual de Goiás - UEG
Universidade Estadual de Goiás - UEG

pedro rogerio giongo


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https://researchid.co/giongopr

RESEARCH, TEACHING, or OTHER INTERESTS

Agronomy and Crop Science, Agricultural and Biological Sciences, Environmental Science, Food Animals
37

Scopus Publications

698

Scholar Citations

12

Scholar h-index

17

Scholar i10-index

Scopus Publications

  • Monitoring soil conservation techniques via UAV for sustainable production of intercropped forage cactus with reuse water in the Brazilian semiarid region
    Lizandra de Barros de Sousa, Abelardo Antônio de Assunção Montenegro, Jorge Manuel G.P. Isidoro, Thieres George Freire da Silva, Thayná Alice Brito Almeida, et al.
    Field Crops Research, 2025
  • Canonical Analysis of the Impact of Climate Predictors on Sugarcane Yield in the Eastern Region of Pernambuco, Brazil
    Rodrigo Rogério da Silva, Geber Barbosa de Albuquerque Moura, Pabrício Marcos Oliveira Lopes, Cristina Rodrigues Nascimento, Pedro Rogério Giongo
    Agriculture Switzerland, 2025
    Sugarcane yield plays a crucial role in food safety and biofuel production, and it is strongly influenced by climatic variations. In this context, this study applies canonical correlation analysis (CCA) to identify the climatic predictors, such as sea surface temperature, atmospheric pressure, and wind speed, that affect sugarcane yield from 1990 to 2019. Hierarchical cluster analysis applied to the performance of 58 municipalities in the eastern region of Pernambuco identified three distinct and homogeneous groups. An analysis of the CCA for the three sugarcane yield groups and climatic variables revealed that the first canonical function was significant with R = 0.82 and precision of 0.67 (p ≤ 0.05 at 95% confidence level), and that the sugarcane yield groups and climatic variables were different (Wilks’ lambda = 0.14), but they were associated. Climatic variables affected the three sugarcane productivity groups, with redundancy indices of 29.7%, 52.2%, and 59.9%. Climatic variables with positive canonical weights enhance performance, while those with negative weights decrease yields. The structural canonical loads and cross-loadings reveal that sea surface temperature plays a crucial role in determining sugarcane yield, potentially influencing precipitation and temperature patterns in the region. The sensitivity analysis confirms the stability of the canonical loads and the robustness of the results, demonstrating that this research can support yield forecasting, regional agricultural policy, and drought management. Identifying climate predictors, such as sea surface temperature, wind speed, and atmospheric pressure, enables the creation of accurate models to predict sugarcane productivity, assisting farmers in planning input management, irrigation during dry periods, and harvesting. Furthermore, climate data can inform policies that encourage sustainable agricultural practices and adaptation to climate conditions, strengthening food security and guiding the selection of more resilient sugarcane varieties, increasing production resilience.
  • Estimation of Kcb for Irrigated Melon Using NDVI Obtained Through UAV Imaging in the Brazilian Semiarid Region
    Jeones Marinho Siqueira, Gertrudes Macário de Oliveira, Pedro Rogerio Giongo, Jose Henrique da Silva Taveira, Edgo Jackson Pinto Santiago, et al.
    Agriengineering, 2025
    In Northeast Brazil, climatic factors and technology synergistically enhance melon productivity and fruit quality. However, the region requires further research on the efficient use of water resources, particularly in determining the crop coefficient (Kc), which comprises the evaporation coefficient (Ke) and the transpiration coefficient (Kcb). Air temperature affects crop growth and development, altering the spectral response and the Kcb. However, the direct influence of air temperature on Kcb and spectral response remains underemphasized. This study employed unmanned aerial vehicle (UAV) with RGB and Red-Green-NIR sensors imagery to extract biophysical parameters for improved water management in melon cultivation in semiarid northern Bahia. Field experiments were conducted during two distinct periods: warm (October–December 2019) and cool (June–August 2020). The ‘Gladial’ and ‘Cantaloupe’ cultivars exhibited higher Kcb values during the warm season (2.753–3.450 and 3.087–3.856, respectively) and lower during the cool season (0.815–0.993 and 1.118–1.317). NDVI-based estimates of Kcb showed strong correlations with field data (r > 0.80), confirming its predictive potential. The results demonstrate that UAV-derived NDVI enables reliable estimation of melon Kcb across seasons, supporting its application for evapotranspiration modeling and precision irrigation in the Brazilian semiarid context.
  • Performance of Land Use and Land Cover Classification Models in Assessing Agricultural Behavior in the Alagoas Semi-Arid Region
    José Lucas Pereira da Silva, George do Nascimento Araújo Júnior, Francisco Bento da Silva Junior, Thieres George Freire da Silva, Jéssica Bruna Alves da Silva, et al.
    Agriengineering, 2025
    The scarcity of information on agricultural development in the semi-arid region of Alagoas limits the spatial understanding of this activity. Government data are generally numerical and lack spatial detail. Remote sensing emerges as an efficient alternative, providing accessible visualization of agricultural areas. This study evaluates the performance of MapBiomas in monitoring agricultural areas in the semi-arid region of Alagoas, comparing it to a Random Forest model adjusted for the region using higher-resolution images. The first methodology is based on land use and land cover (LULC) data from MapBiomas, an initiative that provides information on land use and land cover in Brazil. The second method employs the Random Forest model, calibrated for the region’s dry season, addressing cloud cover issues and allowing for the identification of irrigated agriculture. LULC data were subjected to a precision analysis using 200 points generated within the study areas, extracting LULC information for each coordinate. These points were overlaid on high-resolution images to assess model accuracy. Additionally, field visits were conducted to validate the identification of agriculture. The irrigated area data from the Random Forest model were correlated with irrigation records from SEMARH. MapBiomas presented a Kappa index of 0.74, with precision exceeding 90% for classes such as forest, natural pasture, non-vegetated area, and water bodies. However, the agriculture class obtained an F1 score of 0.56. The Random Forest model achieved a Kappa index of 0.82, with an F1 score of 0.79 for agriculture. The correlation between the total annual irrigated area data from Random Forest and SEMARH records was high (R = 0.85). The Random Forest model yielded better results in classifying agriculture in the semi-arid region of Alagoas compared to MapBiomas. However, classification limitations were observed in lowland areas due to spectral confusion caused by soil moisture accumulation.
  • Floristics and economic importance of a remnant of the Cerrado in central Brazil
    Revista Brasileira De Meio Ambiente, 2025
  • Effects of tree species and planting density on the total yield of an agroforestry system in the Brazilian Cerrado
    Arthur Gabriel Teodoro, Lucas Matheus Rodrigues, José Henrique Tertulino Rocha, Alessandro José Marques Santos, Clarice Backes, et al.
    New Zealand Journal of Agricultural Research, 2025
  • Filter cake enriched with rockdust on the morphometry of cherry tomato and malagueta pepper seedlings via multivariate modeling
    Daíza Freire da Cunha, Patrícia Costa Silva, Adriana Rodolfo Costa, Pedro Rogerio Giongo, Kássia de Paula Barbosa, et al.
    Journal of Plant Nutrition, 2025
  • Spatio-Temporal Modeling of Land and Pasture Vulnerability in Dairy Basins in Northeastern Brazil
    Jéssica Bruna Alves da Silva, Gledson Luiz Pontes de Almeida, Marcos Vinícius da Silva, José Francisco de Oliveira-Júnior, Héliton Pandorfi, et al.
    Agriengineering, 2024
    The objective of this study is to evaluate the spatio-temporal dynamics of land vulnerability and pasture areas in the dairy basins of the states of Pernambuco and Alagoas, which are part of the Ipanema River Watershed (IRW) in the Northeast Region of Brazil. Maps of the Land Use and Land Cover (LULC); the Index of Vulnerability to Degradation (IVD); the Land Vulnerability Index (LVI); time series of Effective Herd (EH), Milked Cows (MC), and Milk Production (MP); and Pasture Cover (PC) and Quality (PCQ) were created as parameters. An opposite pattern was observed between the land use classes of Livestock, Agriculture, and Forest. The IRW area has predominantly flat terrain with a very high risk of degradation. The analysis of MC was consistent with the information from the EH analysis as well as with MP. When assessing Pasture Quality, Severe Degradation areas increased from 2010 to 2014, decreased after 2015, and rose again in 2020. Moderate Degradation areas remained high, while Not Degraded pasture areas were consistently the lowest from 2012 to 2020. Over the 10 years analyzed (2010–2020), the area showed a strong degradation process, with the loss of approximately 16% of the native vegetation of the Caatinga Biome and an increase in pasture areas and land vulnerability.
  • Geotechnologies in Biophysical Analysis through the Applicability of the UAV and Sentinel-2A/MSI in Irrigated Area of Common Beans: Accuracy and Spatial Dynamics
    Henrique Fonseca Elias de Oliveira, Lucas Eduardo Vieira de Castro, Cleiton Mateus Sousa, Leomar Rufino Alves Júnior, Marcio Mesquita, et al.
    Remote Sensing, 2024
    The applicability of remote sensing enables the prediction of nutritional value, phytosanitary conditions, and productivity of crops in a non-destructive manner, with greater efficiency than conventional techniques. By identifying problems early and providing specific management recommendations in bean cultivation, farmers can reduce crop losses, provide more accurate and adequate diagnoses, and increase the efficiency of agricultural resources. The aim was to analyze the efficiency of vegetation indices using remote sensing techniques from UAV multispectral images and Sentinel-2A/MSI to evaluate the spectral response of common bean (Phaseolus vulgaris L.) cultivation in different phenological stages (V4 = 32 DAS; R5 = 47 DAS; R6 = 60 DAS; R8 = 74 DAS; and R9 = 89 DAS, in 99 days after sowing—DAS) with the application of doses of magnesium (0, 250, 500, and 1000 g ha−1). The field characteristics analyzed were mainly chlorophyll content, productivity, and plant height in an experimental area by central pivot in the midwest region of Brazil. Data from UAV vegetation indices served as variables for the treatments implemented in the field and were statistically correlated with the crop’s biophysical parameters. The spectral response of the bean crop was also detected through spectral indices (NDVI, NDMI_GAO, and NDWI_GAO) from Sentinel-2A/MSI, with spectral resolutions of 10 and 20 m. The quantitative values of NDVI from UAV and Sentinel-2A/MSI were evaluated by multivariate statistical analysis, such as principal components (PC), and cophenetic correlation coefficient (CCC), in the different phenological stages. The NDVI and MCARI vegetation indices stood out for productivity prediction, with r = 0.82 and RMSE of 330 and 329 kg ha−1, respectively. The TGI had the best performance in terms of plant height (r = 0.73 and RMSE = 7.4 cm). The best index for detecting the relative chlorophyll SPAD content was MCARI (r = 0.81; R2 = 0.66 and RMSE = 10.14 SPAD), followed by NDVI (r = 0.81; R2 = 0.65 and RMSE = 10.19 SPAD). The phenological stage with the highest accuracy in estimating productive variables was R9 (Physiological maturation). GNDVI in stages R6 and R9 and VARI in stage R9 were significant at 5% for magnesium doses, with quadratic regression adjustments and a maximum point at 500 g ha−1. Vegetation indices based on multispectral bands of Sentinel-2A/MSI exhibited a spectral dynamic capable of aiding in the management of bean crops throughout their cycle. PCA (PC1 = 48.83% and PC2 = 39.25%) of the satellite multiple regression model from UAV vs. Sentinel-2A/MSI presented a good coefficient of determination (R2 = 0.667) and low RMSE = 0.12. UAV data for the NDVI showed that the Sentinel-2A/MSI samples were more homogeneous, while the UAV samples detected a more heterogeneous quantitative pattern, depending on the development of the crop and the application of doses of magnesium. Results shown denote the potential of using geotechnologies, especially the spectral response of vegetation indices in monitoring common bean crops. Although UAV and Sentinel-2A/MSI technologies are effective in evaluating standards of the common bean crop cycle, more studies are needed to better understand the relationship between field variables and spectral responses.
  • Agronomic performance of palisade grass under different doses of liquid blood waste and chemical composition of soil
    Marcello Hungria Rodrigues, Clarice Backes, Alessandro José Marques Santos, Lucas Matheus Rodrigues, Arthur Gabriel Teodoro, et al.
    Revista Mexicana De Ciencias Pecuarias, 2024
    El objetivo fue evaluar el comportamiento agronómico y la composición química de suelos cultivados con pasto insurgente (Urochloa brizantha cv. Marandu) sometido a dosis crecientes de residuos sanguíneos líquidos. El experimento siguió el diseño de bloques completamente al azar con seis tratamientos y cuatro repeticiones. Las siguientes dosis de residuos sanguíneos líquidos procesados se aplicaron para analizar el rendimiento del pasto insurgente: 0, 150, 300, 450 y 600 m3 ha-1. Además, se utilizó en conjunto con la fertilización química a razón de 50 kg ha-1 de P2O5 y 100 kg ha-1 de N (este tratamiento no se manejó con residuos sanguíneos líquidos). El rendimiento de forraje de pasto insurgente estuvo influenciado por la estrategia de fertilización (P<0.001) – los valores más altos observados para esta variable se registraron bajo dosis de residuos sanguíneos de 450 m3 ha-1 y 600 m3 ha-1. La capa de suelo de 0.0 a 0.20 m afecta a la fracción de materia orgánica. Por otro lado, el contenido de fósforo (P) presentó diferencias entre las estrategias de fertilización; así, fue posible observar que la dosis de residuos de 450 m3 ha-1 resultó en la mayor disponibilidad de nutrientes. La aplicación de residuos sanguíneos líquidos como fuente alternativa de fertilizantes orgánicos puede ser factible, ya que promueve un aumento significativo de la masa forrajera.
  • Assessment of desertification in the Brazilian semiarid region using time series of climatic and biophysical variables
    João Guilherme Justino Da Costa, Geber Barbosa de Albuquerque Moura, Pabrício Marcos Oliveira Lopes, Pedro Rogério Giongo, José Ivaldo Barbosa de Brito
    Revista Brasileira De Geografia Fisica, 2023
  • Characterization of water status and vegetation cover change in a watershed in Northeastern Brazil
    Jessica Bruna Alves da Silva, Gledson Luiz Pontes de Almeida, Marcos Vinicius da Silva, Jose Francisco de Oliveira-Junior, Heliton Pandorfi, et al.
    Journal of South American Earth Sciences, 2023
  • REMOTE SENSING AND GEOSTATISTICS APPLIED TO NDVI, KC AND PRODUCTIVE PARAMETERS IN IRRIGATED CORN CROP
    PEDRO ROGERIO GIONGO, DARLENE DE MATOS SANTOS, TALLITA MAIELLY GONÇALVES DE MOURA NEVES, ADRIANA RODOLFO DA COSTA, PATRICIA COSTA SILVA, et al.
    Irriga, 2023
  • Development and Automation of a Photovoltaic-Powered Soil Moisture Sensor for Water Management
    Denilson Alves de Melo, Patrícia Costa Silva, Adriana Rodolfo da Costa, Josué Gomes Delmond, Ana Flávia Alves Ferreira, et al.
    Hydrology, 2023
  • Organic and mineral fertilization determining the agronomic performance of sunflower cultivars and soil chemical attributes
    Weslian V. da Silva, José H. da S. Taveira, Patrick B. Fernandes, Patrícia C. Silva, Ana B. G. da Costa, et al.
    Revista Brasileira De Engenharia Agricola E Ambiental, 2023
  • Remote sensing techniques via Google Earth Engine for land degradation assessment in the Brazilian semiarid region, Brazil
    Marcos Vinícius da Silva, Héliton Pandorfi, José Francisco de Oliveira-Júnior, Jhon Lennon Bezerra da Silva, Gledson Luiz Pontes de Almeida, et al.
    Journal of South American Earth Sciences, 2022
  • Land Use and Water-Quality Joint Dynamics of the Córrego da Formiga, Brazilian Cerrado Headwaters
    Pedro Rogerio Giongo, Ana Paula Aparecida de Oliveira Assis, Marcos Vinícius da Silva, Abelardo Antônio de Assunção Montenegro, José Henrique da Silva Taveira, et al.
    Geographies, 2022
  • Investigation of pre and post environmental impact of the lockdown (COVID-19) on the water quality of the Capibaribe and Tejipió rivers, Recife metropolitan region, Brazil
    Maria Eduarda Gonçalves de Oliveira, Marcos Vinícius da Silva, Gledson Luiz Pontes de Almeida, Héliton Pandorfi, Pabricio Marcos Oliveira Lopes, et al.
    Journal of South American Earth Sciences, 2022
  • Chemical and granulometric characterization of soil and its influence on the bromatologic composition of pastures in savannah region, Central Brazil
    Pedro Rogério Giongo, Kelly Cristina Barbosa de Morais, Marcos Vinícius da Silva, Alessandro José Marques Santos, Clarice Backes, et al.
    Journal of South American Earth Sciences, 2022
  • Productivity and nutrient extraction by Paiaguás palisadegrass, single and intercropping with pigeon pea, submitted to doses of nitrogen
    P.R. Rezende, L.M. Rodrigues, C. Backes, A.G. Teodoro, A.J.M. Santos, et al.
    Arquivo Brasileiro De Medicina Veterinaria E Zootecnia, 2022
  • Spatial modeling of rainfall patterns and groundwater on the coast of northeastern Brazil
    Marcos Vinícius da Silva, Héliton Pandorfi, Alexandre Maniçoba da Rosa Ferraz Jardim, José Francisco de Oliveira-Júnior, Jesiele Silva da Divincula, et al.
    Urban Climate, 2021
  • Nitrogen fertilization of paiaguás grass: production and nutrition
    Alexandre Alves Domingues, Alessandro José Marques Santos, Clarice Backes, Lucas Matheus Rodrigues, Arthur Gabriel Teodoro, et al.
    Revista De Agricultura Neotropical, 2021
  • Development of lettuce varieties in different organic wastes as substrate
    Victor Hugo Moraes, Pedro Rogerio Giongo, Alice Maria Albert, Bruno Henrique Tondato Arantes, Marcio Mesquita
    Revista Facultad Nacional De Agronomia Medellin, 2021
  • Behavior of three lettuce cultivars in a hydroponic system
    Victor Hugo Moraes, Pedro Rogério Giongo, Franciele De Freitas Silva, Marcio Mesquita, Jefferson Pereira De Abreu, et al.
    Revista Facultad Nacional De Agronomia Medellin, 2020
  • Spectral behavior and detection of orange (Citrus sinensis l. osbeck) with water stress, through drone use
    Leticia Tondato Arantes, Bruno Henrique Tondato Arantes, Pedro Rogerio Giongo, Guilherme Zavatti Ceccato, Victor Hugo Moraes, et al.
    Revista Brasileira De Geografia Fisica, 2020
  • Physical and chemical attributes of a soil cultivated with rubber tree under three management strategies
    Yuri Luiz Augusto dos Santos, Adriana Aparecida Ribon, Luis Filipe Caixeta Bitencourt, Leonardo Rodrigues Barros, Kathleen Fernandes, et al.
    Semina Ciencias Agrarias, 2020
  • Soil erosion vulnerability in the southern part of the meia ponte watershed, Goias, Brazil
    Breno Amaro da Silva, Pedro Rogerio Giongo, Patrick Tomaz de Aquino Martins, Thaís Alves Barbosa, Victor Hugo Moraes, et al.
    Idesia, 2019
  • Integration crop-livestock-forestry: Interaction between components and system sustainability
    L.M. Rodrigues, A.G. Teodoro, A.J.M. Santos, C. Backes, J.H.T. Rocha, et al.
    Archivos De Zootecnia, 2019
  • Maize silage intercropped with grass and pigeon pea subjected to different n rates and pasture development in the offseason
    Stephanie Vicente de Bessa, Alessandro José Marques Santos, Clarice Backes, Lucas Matheus Rodrigues, Arthur Gabriel Teodoro, et al.
    Semina Ciencias Agrarias, 2018
  • Erosive susceptibility of the watershed of Córrego of Formiga, Quirinópolis/GO
    Espacios, 2017
  • Agronomic characteristics of cultivating sweet sorghum at different times in Goiás Southwest region
    Espacios, 2017
  • Surface albedo through TM-landsat 5 images and digital terrain model
    Pedro R. Giongo, Carlos A. Vettorazzi
    Revista Brasileira De Engenharia Agricola E Ambiental, 2014
  • Expansion of the sugarcane industry in southwest goiás: Evolution and impacts on land use
    Espacios, 2014
  • Estimates of hidrics conditions in ipojuca, sugarcane region of pernambuco
    Revista Caatinga, 2010
  • Surface albedo from Landsat 5 images in areas of sugar cane and cerrado
    Pedro R. Giongo, Geber B. de A. Moura, Bernardo B. Silva, Humberto R. da Rocha, Sérgio R. R. de Medeiros, et al.
    Revista Brasileira De Engenharia Agricola E Ambiental, 2010
  • Relationship between the rainfall of the eastern Northeast of Brazil and the ocean temperature
    Geber B. de A. Moura, José O. R. de Aragão, José S. P. de Melo, Ana P. N. da Silva, Pedro R. Giongo, et al.
    Revista Brasileira De Engenharia Agricola E Ambiental, 2009
  • Evaluation of thermal comfort and performance of broiler chickens under different housing systems
    Aérica C. Nazareno, Héliton Pandorfi, Gledson L. P. Almeida, Pedro R. Giongo, Elvira M. R. Pedrosa, et al.
    Revista Brasileira De Engenharia Agricola E Ambiental, 2009

RECENT SCHOLAR PUBLICATIONS

  • COMPOSIÇÕES DO USO DO SOLO NO CERRADO GOIANO PARA A QUALIDADE DE ÁGUA EM NIVEL DE SUB BACIAS
    MR Magalhães, MS de Oliveira, NM da Cruz Rezende, ...
    Revista Multidisciplinar do Nordeste Mineiro 1 (03), 1-18 , 2026
    2026
  • CHEMICAL PROCESSES APPLIED TO THE PRESERVATION OF ARTISANAL NATURAL JUICES
    JB da Rocha Neto, JH da Silva Taveira, J do Carmo Lima, PR Giongo, ...
    Editora Impacto Científico, 213-226 , 2025
    2025
  • EMERGING AND CONVENTIONAL PHYSICAL PROCESSES IN THE PRESERVATION OF ARTISANAL NATURAL JUICES
    JH da Silva Taveira, JB da Rocha Neto, J do Carmo Lima, PR Giongo, ...
    Editora Impacto Científico, 175-193 , 2025
    2025
  • Impact of storage systems on fumonisin B1 contamination in maize processed for animal feed
    JH da Silva Taveira, MP Rocha, J do Carmo Lima, PR Giongo, ...
    Food Science and Technology 45 , 2025
    2025
  • Filter cake enriched with rockdust on the morphometry of cherry tomato and malagueta pepper seedlings via multivariate modeling
    DF Cunha, P Costa Silva, AR Costa, PR Giongo, KP Barbosa, ...
    Journal of Plant Nutrition 48 (20), 3576-3588 , 2025
    2025
  • Monitoring soil conservation techniques via UAV for sustainable production of intercropped forage cactus with reuse water in the Brazilian semiarid region
    LB de Sousa, AA de Assunção Montenegro, JMGP Isidoro, TGF da Silva, ...
    Field Crops Research 334, 110120 , 2025
    2025
    Citations: 1
  • Canonical Analysis of the Impact of Climate Predictors on Sugarcane Yield in the Eastern Region of Pernambuco, Brazil
    RR Silva, GBA Moura, PMO Lopes, CR Nascimento, PR Giongo
    Agriculture 15 (20), 2162 , 2025
    2025
  • Use of vinasse as an additive in corn silage
    JB da Rocha Neto, S de Mendonça Neves, LFL Nunes, J do Carmo Lima, ...
    Food Science and Technology 45 , 2025
    2025
  • Florística e importância econômica de um remanescente do Cerrado no Brasil Central
    A Rios, BM Borges, PR Giongo, VS dos Santos Diniz
    Revista Brasileira de Meio Ambiente 13 (3) , 2025
    2025
    Citations: 1
  • Estimation of Kcb for Irrigated Melon Using NDVI Obtained Through UAV Imaging in the Brazilian Semiarid Region
    JM Siqueira, GM de Oliveira, PR Giongo, JHS Taveira, EJP Santiago, ...
    AgriEngineering 7 (10), 340 , 2025
    2025
  • Fontes de nitrogênio e métodos de estimativa da evapotranspiração de referência no cultivo do sorgo sacarino irrigado
    LD de Melo, JA Geronutti, AR da Costa, PR Giongo, MLFG de Avelar, ...
    Caderno Pedagógico 22 (10), e19478-e19478 , 2025
    2025
  • An open-source and low-cost data acquisition system for surface water monitoring: analysis of measurement uncertainty
    I de Matos Ponciano, VFG Ponciano, MF Pinto, DG Alves, PR Giongo
    Revista Ciência Agrícola 23, 1-17 , 2025
    2025
  • Influence of drying temperature on the mechanical properties of popcorn kernels
    Y de Brito PAIVA, ACS de ARAUJO, PR GIONGO, WRC SANTOS, ...
    Food Science and Technology 45 , 2025
    2025
  • Performance of Land Use and Land Cover Classification Models in Assessing Agricultural Behavior in the Alagoas Semi-Arid Region
    JLP Silva, GNA Júnior, FB Silva Junior, TGF Silva, JBA Silva, CH Scheibel, ...
    AgriEngineering 7 (5), 134 , 2025
    2025
    Citations: 2
  • Effects of tree species and planting density on the total yield of an agroforestry system in the Brazilian Cerrado
    AG Teodoro, LM Rodrigues, JHT Rocha, AJM Santos, C Backes, ...
    New Zealand Journal of Agricultural Research 68 (3), 555-568 , 2025
    2025
    Citations: 4
  • Effects of plant growth-promoting bacteria on the performance of chickpea seedlings
    R da Silva CÂNDIDO, PC SILVA, JG DELMOND, PR GIONGO, ...
    Food Science and Technology 45 , 2025
    2025
    Citations: 1
  • AVALIAÇÃO DOS DADOS MICROBIOLÓGICOS DA VIGILÂNCIA SANITÁRIA DA ÁGUA CONSUMIDA EM QUIRINÓPOLIS, GOIÁS
    ZM Matos, PR Giongo, D de Jesus Pires
    ARACÊ 7 (2), 8318-8348 , 2025
    2025
  • Florística e importancia económica de un remanente del Cerrado en el centro de Brasil
    A Rios, B Miranda Borges, PR Giongo, V Sardinha dos Santos Diniz
    2025
  • Canonical Analysis of the Impact of Climate Predictors on Sugarcane Yield in the Eastern Region of Pernambuco, Brazil
    RR da Silva, GB de Albuquerque Moura, PMO Lopes, CR Nascimento, ...
    Agriculture 15 (20), 1-26 , 2025
    2025
    Citations: 1
  • Development of corn seedlings under doses of vinhace
    JH da Silva Taveira, GM da Silva, PC Silva, NSD Corioletti, PR Giongo, ...
    OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA 22 (9), e6597-e6597 , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • Avaliação do conforto térmico e desempenho de frangos de corte sob regime de criação diferenciado
    AC Nazareno, H Pandorfi, GLP Almeida, PR Giongo, EMR Pedrosa, ...
    Revista Brasileira de Engenharia Agrícola e Ambiental 13 (6), 802-808 , 2009
    2009
    Citations: 88
  • Relação entre a precipitação do leste do Nordeste do Brasil e a temperatura dos oceanos
    GBA Moura, JOR de Aragão, JSP de Melo, APN da Silva, PR Giongo, ...
    Revista brasileira de Engenharia Agrícola e ambiental 13, 462-469 , 2009
    2009
    Citations: 55
  • Spatial modeling of rainfall patterns and groundwater on the coast of northeastern Brazil
    MV da Silva, H Pandorfi, AMRF Jardim, JF de Oliveira-Júnior, ...
    Urban Climate 38, 100911 , 2021
    2021
    Citations: 42
  • Adaptabilidade e estabilidade de cultivares de soja em quatro épocas de semeadura no sul do Estado do Tocantins
    JM Pelúzio, RR Fidelis, P Giongo, JC da Silva, D Cappellari, HB Barros
    Revista Ceres 55 (1) , 2008
    2008
    Citations: 41
  • Albedo à superfície a partir de imagens Landsat 5 em áreas de cana-de-açúcar e cerrado
    PR Giongo, GBA Moura, BB Silva, HR Rocha, SRR Medeiros, ...
    Revista Brasileira de Engenharia Agrícola e Ambiental 14 (3), 279-287 , 2010
    2010
    Citations: 34
  • Albedo da superfície por meio de imagens TM-Landsat 5 e modelo numérico do terreno
    PR Giongo, CA Vettorazzi
    Revista Brasileira de Engenharia Agrícola e Ambiental 18 (8), 833-838 , 2014
    2014
    Citations: 29
  • Remote sensing techniques via Google Earth Engine for land degradation assessment in the Brazilian semiarid region, Brazil
    MV da Silva, H Pandorfi, JF de Oliveira-Junior, JLB da Silva, ...
    Journal of South American Earth Sciences 120, 104061 , 2022
    2022
    Citations: 25
  • Dinâmica espaço-temporal da vegetação no semi-árido de Pernambuco
    ANAPNDA SILVA, GBDEA MOURA, PR GIONGO, AODA SILVA
    2009
    Citations: 23
  • Estimativa do balanço de radiação com técnicas de sensoriamento remoto e dados de superfície
    PR Giongo
    Universidade Federal Rural de Pernambuco , 2008
    2008
    Citations: 23
  • Development and Automation of a Photovoltaic-Powered Soil Moisture Sensor for Water Management
    DA de Melo, PC Silva, AR da Costa, JG Delmond, AFA Ferreira, ...
    Hydrology 10 (8), 166 , 2023
    2023
    Citations: 18
  • Potencial agroclimático para a Alpinia purpurata, no Estado de Pernambuco
    SRR Medeiros, GBA Moura, PR Giongo, APN Silva
    Revista Brasileira de Engenharia Agrícola e Ambiental 13 (2), 165-169 , 2009
    2009
    Citations: 15
  • Correlação entre as Temperaturas da Superfície do Mar ea quantidade da precipitação na estação chuvosa no Nordeste do estado de Pernambuco
    APN Silva, GBA Moura, PR Giongo, SRR Medeiros
    Revista Brasileira de Meteorologia 26 (1), 149-156 , 2011
    2011
    Citations: 13
  • Productivity and nutrient extraction by Paiaguás palisadegrass submitted to doses of nitrogen in single cultivation and intercropped with pigeon pea
    PR Rezende, LM Rodrigues, C Backes, AJM Santos, PB Fernandes, ...
    Arq Bras Med Vet Zootec 74, 1151-1160 , 2022
    2022
    Citations: 12
  • Análise de regressão e componentes principais para estudo da adaptabilidade e estabilidade em soja
    JM Pelúzio, RR Fidelis, PR Giongo, JC da SILVA, D Cappellari, ...
    Scientia Agraria 9 (4), 455-462 , 2008
    2008
    Citations: 12
  • Nitrogen fertilization of paiaguás grass: production and nutrition
    AA Domingues, AJM Santos, C Backes, LM Rodrigues, AG Teodoro, ...
    Revista de Agricultura Neotropical 8 (2), e5918-e5918 , 2021
    2021
    Citations: 11
  • Chemical and granulometric characterization of soil and its influence on the bromatologic composition of pastures in savannah region, Central Brazil
    PR Giongo, KCB de Morais, MV da Silva, AJM Santos, C Backes, ...
    Journal of South American Earth Sciences 114, 103703 , 2022
    2022
    Citations: 10
  • Comportamento espectral e detecção de laranjeiras (Citrus sinensis L. Osbeck) com estresse hídrico, por meio de drone
    LT Arantes, BHT Arantes, PR Giongo, GZ Ceccato, VH Moraes, YK Saito, ...
    Revista Brasileira de Geografia Física 13 (07), 3625-3635 , 2020
    2020
    Citations: 10
  • Geotechnologies in biophysical analysis through the applicability of the UAV and sentinel-2A/MSI in irrigated area of common beans: accuracy and spatial dynamics
    HFE de Oliveira, LEV de Castro, CM Sousa, LR Alves Júnior, M Mesquita, ...
    Remote Sensing 16 (7), 1254 , 2024
    2024
    Citations: 9
  • Estudo hidrológico das bacias hidrográficas em Santa Helena De Goiás
    JAB Soares, G Camargo, PR Giongo, LF Gomes, AR Costa, PC Silva
    Brazilian Journal of Development 6 (6), 35629-35647 , 2020
    2020
    Citations: 9
  • Variabilidade espacial e temporal do albedo obtido a partir de imagens MODIS na região do Pantanal
    PR Giongo, CR Padovani, CA Vettorazzi
    2009
    Citations: 9