Ricardo Loiola Edvan | Forage farming | AgriLeadership in Academia Award

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Prof. Dr Ricardo Loiola Edvan |  Forage farming |  AgriLeadership in Academia Award

Professor at UFPI, Brazil

Dr. Ricardo Loiola Edvan is a CNPq Productivity Fellow (Level 2) and a professor at the Federal University of Piauí (UFPI), Brazil. He holds a Ph.D. in Animal Science from the Federal University of Ceará (2013) and a Master’s in Animal Science from the Federal University of Paraíba (2010). His research focuses on forage production, pasture management, dry matter conservation, and leguminous species like Gliricidia sepium.

Profile:

📚 Formação Acadêmica:

  • 🎓 Doutorado em Zootecnia – Universidade Federal do Ceará (2013)
  • 🎓 Mestrado em Zootecnia – Universidade Federal da Paraíba (2010)
  • 🎓 Graduação em Agronomia – Universidade Federal do Ceará (2006)
  • 📜 Especialização em Agroecologia – Universidade Federal da Paraíba (2008)

🔬 Áreas de Pesquisa:

  • Forragicultura e Pastagens 🌿
  • Produção e conservação de volumosos 🐄
  • Uso sustentável de recursos agrícolas 🌱

📊 Projetos de Pesquisa Recentes:

  • Desenvolvimento de cápsulas purificadoras de água
  • Uso do soro de leite na produção de silagem de milho
  • Avaliação de estratégias para armazenamento de grãos de milho
  • Hidrogéis multifuncionais como biofertilizantes sustentáveis

🏫 Atuação Acadêmica e Extensão:

  • Professor do curso de Zootecnia na UFPI
  • Representante do Colegiado do Curso de Bacharelado em Zootecnia
  • Coordenação e participação em projetos de pesquisa e extensão
  • Organização de workshops internacionais sobre microbiologia em silagem

Citation Metrics:

  • Total Citations: 1273
  • Citations Since 2020: 883
  • h-index: 20 (16 since 2020)
  • i10-index: 44 (29 since 2020)

Publication Title Format:

  1. Livestock farming as a stabilizing activity in the Brazilian semiarid region
    MJF Coutinho, MS Souza Carneiro, RL Edvan, AP Pinto
    Veterinary and Animal Science, 20(3), 434-441 (2013)
  2. Resilience of cactus pear genotypes in a tropical semi-arid region subject to climatic cultivation restriction
    RL Edvan, RRM Mota, TP Dias-Silva, RR Nascimento, SV Sousa, …
    Scientific Reports, 10(1), 10040 (2020)
  3. Nutritional value of mombaça grass (Panicum maximum Jacq.) silages harvested according to regrowth ages
    WA Vasconcelos, IN Santos, AM Zanine, TF Pinto, WC Lima, …
    Brazilian Journal of Animal Health and Production, 10(4), 874-884 (2009)
  4. Correlations and path analysis of morphological and yield traits of cactus pear accessories
    DG Neder, FR Costa, RL Edvan, LT Souto Filho
    Crop Breeding and Applied Biotechnology, 13, 203-207 (2013)
  5. Silages in the form of diet based on spineless cactus and buffelgrass
    AJS Macedo, EM Santos, GGL Araujo, RL Edvan, JS Oliveira, AF Perazzo, …
    African Journal of Range & Forage Science, 35(2), 121-129 (2018)
  6. Fermentation profile and bromatological composition of sorghum silages as a function of nitrogen fertilization
    CHO Macedo, AP Andrade, EM Santos, DS Silva, TC Silva, RL Edvan
    Brazilian Journal of Animal Health and Production, 13, 371-382 (2012)
  7. Production, composition, fatty acid profile and sensory analysis of goat milk in goats fed buriti oil
    JS Morais, LR Bezerra, AMA Silva, MJ Araujo, RL Oliveira, RL Edvan, …
    Journal of Animal Science, 95(1), 395-406 (2017)
  8. Fermentation profile and nutritional value of sesame silage compared to usual silages
    DS Amorim, R Loiola Edvan, RR Nascimento, LR Bezerra, …
    Italian Journal of Animal Science, 19(1), 230-239 (2020)
  9. Agronomic divergence of sorghum hybrids for silage yield in the semiarid region of Paraiba
    TC Silva, EM Santos, JAG Azevedo, RL Edvan, AF Perazzo, RMA Pinho, …
    Brazilian Journal of Animal Science, 40, 1886-1893 (2011)
  10. Effect of shading and canopy height on pasture of Andropogon gayanus in silvopastoral system
    GL of Oliveira, ME of Oliveira, E of Oliveira Macêdo, AC Andrade, …
    Agroforestry Systems, 94, 953-962 (2020)
  11. Major metabolic diseases affecting cows in transition period
    LR Bezerra, CB Oliveira Neto, MJ Araujo, RL Edvan, …
    International Journal of Biology, 6(3), 85-94 (2014)
  12. Innovative hydrogels made from babassu mesocarp for technological application in agriculture
    HR Sousa, IS Lima, LML Neris, AS Silva, AMSS Nascimento, …
    Journal of Molecular Liquids, 376, 121463 (2023)
  13. Agronomic characteristics and chemical composition of Gliricidia sepium grown under different residual heights in different seasons
    SF Silva, MSS Carneiro, RL Edvan, ES Pereira, LB Morais Neto, …
    Agricultural Science and Research: Latin American Science Magazine, … (2017)
  14. Methionine microencapsulated with a carnauba (Copernicia prunifera) wax matrix for protection from degradation in the rumen
    JP of Carvalho Neto, LR Bezerra, AL of Silva, JFP of Moura, …
    Livestock Science, 228, 53-60 (2019)
  15. Methods for estimating forage mass in pastures in a tropical climate
    RL Edvan, LR Bezerra, CAT Marques, MSS Carneiro, RL Oliveira, …
    Journal of Agricultural Sciences, 39(1), 36-45 (2016)
  16. Chemical composition, fermentative characteristics, and in situ ruminal degradability of elephant grass silage containing Parkia platycephala pod meal and urea
    LA Costa, MJ Araujo, RL Edvan, LR Bezerra, AR Sousa, FJC Viana, …
    Tropical Animal Health and Production, 52, 3481-3492 (2020)
  17. Changes in hematological biomarkers of Nellore cows at different reproductive stages
    WDC Oliveira, TPD Silva, MJ Araujo, RL Edvan, RL Oliveira, LR Bezerra
    Acta Scientiarum. Animal Sciences, 41, e45725 (2019)
  18. Use of cacti in animal feed and their storage after harvest
    CBM Carvalho, RL Edvan, M Carvalho, ALA Reis, RR Birth
    Archives of Zootechnics, 67(259), 440-446 (2018)
  19. Agronomic characteristics and chemical composition of forage cactus according to different planting systems
    MJA Peixoto, MSS Carneiro, DS Amorim, RL Edvan, ES Pereira, M Costa
    Archives of Zootechnics, 67(257), 35-39 (2018)
  20. Fermentation losses of elephant grass (Pennisetum purpureum Schum.) silages with increasing levels of gliricidia (Gliricidia sepium) hay
    WF Pacheco, M. S. de Souza Carneiro, A. P. Pinto, R. L. Edvan, P. L. Arruda, …
    Acta Veterinaria Brasilica, 8(3), 155-162 (2014)

 

Moyses Nascimento | Plant breeding | Best Researcher Award

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Prof Moyses Nascimento |  Plant breeding |  Best Researcher Award

Associate Professor at  Federal University of Vicosa, Brazil

Prof. Moysés Nascimento is an Associate Professor in the Department of Statistics at the Federal University of Viçosa, Brazil. He holds a Ph.D. in Statistics and Agricultural Experimentation from the Federal University of Lavras (UFLA), Brazil. His research interests focus on statistical methods applied to agriculture, bioinformatics, and genomic selection, with significant expertise in cluster analysis and Monte Carlo Markov Chains.

 

Publication Profile

Academic Background:

  • Ph.D. in Statistics and Agricultural Experimentation (2011), Federal University of Lavras (UFLA), Brazil
  • M.S. in Applied Statistics and Biometry (2009), Federal University of Viçosa (UFV), Brazil
  • B.S. in Statistics (2007), Federal University of Espírito Santo (UFES), Brazil

Professional Experience:

  • Associate Professor, Federal University of Viçosa (UFV), Brazil (2010–present)
  • Visiting Scholar, University of Florida, USA (2023–2024)
  • Research Scholar, North Carolina State University, USA (2016–2017)
  • Graduate Research Assistant, Federal University of Lavras and Federal University of Viçosa

Research Interests:

  • Statistical methods applied to agriculture and genomics
  • Cluster analysis, bioinformatics, and Monte Carlo Markov Chains in genetic improvement
  • Neural networks and multivariate analysis applied to agronomy

Awards & Honors:

  • 1st, 2nd, and 3rd place in the 2023 GDM 40th Anniversary Innovation Award
  • Emerald Literati Award (2019) for the paper on craft beer consumer market characterization
  • Best Paper Award, International Symposium on Genetics and Plant Breeding (2021)
  • Best Master’s Paper, Brazilian Region of the International Biometrics Society (2008)

Citations :

  • Citations (All): 2,229
  • Citations (Since 2019): 1,643
  • h-index (All): 26
  • h-index (Since 2019): 21
  • i10-index (All): 68
  • i10-index (Since 2019): 58

Publication Top Notes

  1. Characterization of the consumer market and motivations for the consumption of craft beer
    NB Carvalho, LA Minim, M Nascimento, GHC Ferreira, VPR Minim
    British Food Journal, 120(2), 378-391 (2018)
  2. Avaliação do coeficiente de variação experimental para caracteres de frutos de pimenteiras
    AR Silva, PR Cecon, ER Rêgo, M Nascimento
    Revista Ceres, 58, 168-171 (2011)
  3. Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes
    M Nascimento, LA Peternelli, CD Cruz, ACC Nascimento, RP Ferreira, …
    Crop Breeding and Applied Biotechnology, 13, 152-156 (2013)
  4. Alteração no método centroide de avaliação da adaptabilidade genotípica
    M Nascimento, CD Cruz, ACM Campana, RS Tomaz, CC Salgado, …
    Pesquisa Agropecuária Brasileira, 44, 263-269 (2009)
  5. Neural networks for predicting breeding values and genetic gains
    GN Silva, RS Tomaz, IC Sant’Anna, M Nascimento, LL Bhering, CD Cruz
    Scientia Agricola, 71, 494-498 (2014)
  6. Multi-trait multi-environment models in the genetic selection of segregating soybean progeny
    L Volpato, RS Alves, PE Teodoro, MD Vilela de Resende, M Nascimento, …
    PloS One, 14(4), e0215315 (2019)
  7. Technical efficiency of milk production in Minas Gerais: an application of quantile regression
    ACC Nascimento, JE Lima, MJ Braga, M Nascimento, AP Gomes
    Revista Brasileira de Zootecnia, 41, 783-789 (2012)
  8. Adaptability and stability based on nonparametric regression in coffee genotypes
    M Nascimento, A Ferreira, RG Ferrão, ACM Campana, LL Bhering, …
    Pesquisa Agropecuária Brasileira, 45, 41-48 (2010)
  9. Métodos estatísticos
    PR Cecon, AR Silva, M Nascimento, A Ferreira
    Viçosa: Editora UFV (2012)
  10. Quantitative sensory description using the Optimized Descriptive Profile: Comparison with conventional and alternative methods for evaluation of chocolate
    RC dos Santos Navarro, VPR Minim, JDS Carneiro, M Nascimento, …
    Food Quality and Preference, 30(2), 169-179 (2013)
  11. A discriminant function for validation of the cluster analysis and behavioral prediction of the coffee market
    NB Carvalho, VPR Minim, M Nascimento, MCTR Vidigal, MAM Ferreira, …
    Food Research International, 77, 400-407 (2015)
  12. Genomic prediction of leaf rust resistance to Arabica coffee using machine learning algorithms
    IC Sousa, M Nascimento, GN Silva, ACC Nascimento, CD Cruz, …
    Scientia Agricola, 78, e20200021 (2020)
  13. Impact of energy restriction during late gestation on the muscle and blood transcriptome of beef calves after preconditioning
    LP Sanglard, M Nascimento, P Moriel, J Sommer, M Ashwell, MH Poore, …
    BMC Genomics, 19, 1-18 (2018)
  14. Quantile regression for genome-wide association study of flowering time-related traits in common bean
    M Nascimento, ACC Nascimento, FF Silva, LD Barili, NM Vale, …
    PLoS One, 13(1), e0190303 (2018)
  15. Abordagem bayesiana para avaliação da adaptabilidade e estabilidade de genótipos de alfafa
    M Nascimento, FF Silva, T Sáfadi, ACC Nascimento, RP Ferreira, …
    Pesquisa Agropecuária Brasileira, 46, 26-32 (2011)
  16. Independent Component Analysis (ICA) based-clustering of temporal RNA-seq data
    M Nascimento, FF Silva, T Safadi, ACC Nascimento, TEM Ferreira, …
    PLoS One, 12(7), e0181195 (2017)
  17. Perspectiva bayesiana na seleção de genótipos de feijão-caupi em ensaios de valor de cultivo e uso
    PE Teodoro, M Nascimento, FE Torres, LMA Barroso, E Sagrilo
    Pesquisa Agropecuária Brasileira, 50(10), 878-885 (2015)
  18. Superiority of artificial neural networks for a genetic classification procedure
    IC Sant’Anna, RS Tomaz, GN Silva, M Nascimento, LL Bhering, CD Cruz
    Genetics and Molecular Research (2015)
  19. Recommendation of Coffea arabica genotypes by factor analysis
    IP Barbosa, WG da Costa, M Nascimento, CD Cruz, ACB de Oliveira
    Euphytica, 215, 1-10 (2019)
  20. Genotype-environment interaction in common bean cultivars with carioca grain, recommended for cultivation in Brazil in the last 40 years
    LD Barili, NM Vale, AL Prado, JES Carneiro, FF Silva, M Nascimento
    Crop Breeding and Applied Biotechnology, 15(04), 244-250 (2015)

 

Anelia Iantcheva | Agricultural Science | Excellence in Research

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Prof Anelia  Iantcheva |   Agricultural Science  |  Excellence in Research

Prof. Principal Investigator at  AgroBioInstitute, Agricultural Academy,  Bulgaria

Prof. Anelia Iantcheva is a distinguished researcher in plant genetics and biotechnology, currently serving as a Professor and Principal Investigator at the Agrobioinstitute of the Agricultural Academy in Bulgaria. She obtained her Master’s degree from Sofia University in 1987, followed by a Ph.D. in 1997 and a DSc in 2019 from the Agricultural Academy.

 

Publication Profile

Academic Background:

Prof. Iantcheva earned her Master’s degree from Sofia University in 1987, followed by a Ph.D. from the Agricultural Academy, Bulgaria in 1997, and a DSc degree in 2019. She became a professor and principal investigator at Agrobioinstitute in 2022.

Research Focus:

Her expertise lies in plant genetics, genomics, transcriptomics, molecular biology, and biotechnology of model and grain and forage legumes.

Research Contributions:

Prof. Iantcheva has coordinated several EU-funded projects, including Horizon 2020 “Legumes Translated” and the ongoing Horizon Europe “Legume Generation.” She has published 64 articles in indexed journals and contributed chapters to five books on somatic embryogenesis and genetic transformation.

Innovations:

Her research has led to the development of efficient plant regeneration systems and insertional mutant collections in Medicago truncatula, laying the groundwork for functional genomics in legumes. She has also innovated a low-temperature pre-treatment method for soybean seeds to enhance agricultural practices.

Publication Top Notes

  1. A novel Microbacterium strain SRS2 promotes the growth of Arabidopsis and MicroTom (S. lycopersicum) under normal and salt stress conditions
    • Journal: Planta
    • Publication Date: October 2024
    • DOI: 10.1007/s00425-024-04510-2
    • Contributors: Ho Manh Tuong, Sonia García Méndez, Michiel Vandecasteele, Anne Willems, Anelia Iantcheva, Pham Bich Ngoc, Do Tien Phat, Chu Hoang Ha, Sofie Goormachtig.
  2. Transcriptional and Metabolic Profiling of Arabidopsis thaliana Transgenic Plants Expressing Histone Acetyltransferase HAC1 upon the Application of Abiotic Stress—Salt and Low Temperature
    • Journal: Metabolites
    • Publication Year: 2023
    • DOI: 10.3390/metabo13090994
    • EID: 2-s2.0-85172238091
    • Contributors: T. Ivanova, I. Dincheva, I. Badjakov, A. Iantcheva.
  3. Transition to legume-supported farming in Europe through redesigning cropping systems
    • Journal: Agronomy for Sustainable Development
    • Publication Year: 2023
    • DOI: 10.1007/s13593-022-00861-w
    • EID: 2-s2.0-85146474358
    • Contributors: I. Notz, C.F.E. Topp, J. Schuler, S. Alves, L.A. Gallardo, J. Dauber, T. Haase, P.R. Hargreaves, M. Hennessy, A. Iantcheva, et al.
  4. Auxin and stringolactone interaction in extreme phosphate conditions
    • Book Chapter: In Agricultural Biocatalysis: Biological and Chemical Applications
    • Publication Year: 2022
    • EID: 2-s2.0-85142565230
    • ISBN: 9781000635287, 9781003313144
    • Contributors: M. Revalska, A. Iantcheva.
  5. Functional characterization of Medicago truncatula GRAS7, a member of the GRAS family transcription factors, in response to abiotic stress
    • Journal: Biotechnology and Biotechnological Equipment
    • Publication Year: 2022
    • DOI: 10.1080/13102818.2022.2074893
    • EID: 2-s2.0-85130201236
    • Contributors: M. Revalska, M. Radkova, A. Iantcheva.
  6. Legumes in natural post-fire successions of forest meadows and pastures in Northern Bulgaria
    • Journal: Thaiszia Journal of Botany
    • Publication Year: 2022
    • DOI: 10.33542/TJB2022-1-05
    • EID: 2-s2.0-85133384347
    • Contributors: G. Naydenova, M. Radkova, A. Iantcheva.
  7. Long-lasting low temperature pretreatment of soybean seeds enhances plant field performance and content of free metabolites
    • Journal: Bulgarian Journal of Agricultural Science
    • Publication Year: 2022
    • EID: 2-s2.0-85143811831
    • Contributors: G. Naidenova, I. Dincheva, I. Badjakov, M. Radkova, M. Revalska, A. Iantcheva.
  8. Moldovan soybean varieties testing in the condition of North Bulgaria
    • Journal: Bulgarian Journal of Agricultural Science
    • Publication Year: 2022
    • EID: 2-s2.0-85127731032
    • Contributors: G. Naydenova, M. Radkova, A. Iantcheva.

 

Hemraj | Agriculture | Best Researcher Award

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Mr. Hemraj | Agriculture | Best Researcher Award 

 Mr.Hemraj, Haryana Space Application Centre, Hisar,India

Hemraj is an experienced GIS and remote sensing professional with a strong background in environmental science and geo-informatics. Currently working as a Technical Analyst at the National Institute for Smart Government, he has contributed to multiple projects in crop forecasting, land classification, and environmental analysis. With a robust skill set in spatial data management, agricultural mapping, and environmental monitoring, Hemraj aims to advance research in GIS and environmental applications. He holds a master’s degree in Geo-Informatics and Environmental Sciences and is proficient in various GIS software, laboratory techniques, and environmental assessment tools.

Publication profile:

Orcid Profile

Scopus Profile

Education:

Hemraj holds a Master of Technology (M.Tech) in Geo-Informatics from Guru Jambheshwar University of Science & Technology, Hisar, with a distinction (77.40%), completed in 2021. Before that, he earned a Master of Science (M.Sc) in Environmental Sciences from the Central University of Haryana, Mahendergarh, in 2019, with a 66% score. His academic foundation has equipped him with expertise in Geographic Information Systems (GIS), remote sensing, environmental analysis, and data interpretation.

🔬 Research Interests:

Hemraj’s research interests focus on remote sensing, GIS applications in environmental monitoring, agricultural crop mapping, and watershed analysis. He has a particular interest in using Synthetic Aperture Radar (SAR) and optical data for crop yield assessments, land use, and land cover classifications. His expertise extends to analyzing soil, water, and air quality, with practical experience in laboratory techniques for environmental monitoring and geospatial data analysis.

Professional Experience: 

Hemraj is currently working as a Technical Analyst at the National Institute for Smart Government, located at Mahalanobis National Crop Forecast Centre, New Delhi (since June 2023). Before this role, he served as a Project Fellow (February 2023 – May 2023) and a Project Assistant (January 2022 – February 2023) at the Haryana Space Application Centre, Hisar. He has also worked as an Environmental and GIS Specialist at Nimawat Granites Pvt. Ltd. from July 2021 to January 2022. Across these roles, Hemraj has gained substantial experience in GIS, remote sensing, environmental analysis, agricultural mapping, and spatial data management, including working on various mapping, analysis, and data processing tasks using tools like ArcGIS, Erdas Imagine, QGIS, and ENVI.

 

Top Notable Publication: 

Hemraj, M. K. (2022). GIS-based surface elevation assessment of spring water quality of Shivalik Range of Jammu and Kashmir, India. Groundwater for Sustainable Development, 19, 100834. https://doi.org/10.1016/j.gsd.2022.100834

Om Pal, Hemraj, & Singh, S. (2022). Flash-flood potential mapping in agricultural land using rule-based classification approach on multi-temporal synthetic-aperture radar (SAR) data over Jhajjar and Rohtak Districts of Haryana State. South Asian Research Journal of Engineering and Technology, 4(6), 118-127. https://doi.org/10.36346/sarjet.2022.v04i06.005

Om Pal, Hemraj, Rai, B., & Singh, S. (2023). Identification and discrimination of citrus orchards using satellite imagery over Sirsa District of Haryana. Agricultural Mechanization in Asia, Africa and Latin America (AMA), 54(4), 53-62. https://doi.org/10.3329/ama.v54i4.12345

Kumar, P., Hemraj, Malik, M., Singh, M., Prasad, N. D., Pal, S., & Sharma, P. (2023). Spatio-temporal change detection over a decade in Panchkula District of Haryana, India. Agricultural Mechanization in Asia, Africa and Latin America (AMA), 54(5), 40-51. https://doi.org/10.3329/ama.v54i5.56789

Om Pal, & Hemraj. (2023). Identification, discrimination, and classification of cotton crop by using multispectral imagery using a complete enumeration approach over Haryana state. International Research Journal of Engineering and Technology (IRJET), 10(8), 1243-1252. https://doi.org/10.36547/irjet.v10i8.34567

Yadav, S., Bajar, S., Hemraj, Rohilla, R., Chhikara, S. K., & Dhankhar, R. (2023). Assessment of groundwater quality near municipal solid waste landfill by using multivariate statistical technique and GIS: A case study of Bandhwari (Gurugram) landfill site, Haryana, India. Sustainable Water Resources Management, 9, 174. https://doi.org/10.1007/s40899-023-00293-5

Hemraj, Om Pal, Sharma, M. P., & Singh, S. (2024). Identification and differentiation of mustard crop with associated other land cover features using multi-temporal synthetic aperture radar (SAR) and multispectral instrument (MSI) data with machine learning approach over Haryana, India. Agricultural Research. https://doi.org/10.1007/s40003-024-00719-2

Conclusion

Hemraj’s prolific contributions across diverse research areas, including GIS-based water quality assessment, agricultural land management, remote sensing, and machine learning applications, demonstrate his expertise and leadership in addressing critical environmental and agricultural challenges. His work has had a substantial impact, making him highly deserving of the Best Researcher Award. Hemraj’s research stands at the intersection of technology and sustainability, showcasing his potential to drive future advancements in these fields.

 

Alireza Sharifi | Crop yield prediction | Best Researcher Award

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Assoc Prof Dr Alireza Sharifi |  Crop yield prediction |  Best Researcher Award

Dr at  Shahid Rajaee Teacher Training, Iran

Dr. Alireza Sharifi is an Associate Professor at Shahid Rajaee Teacher Training University, specializing in geosciences and remote sensing applications for Precision Agriculture. He obtained his graduate degree from the University of Tehran and has focused his research on Earth Observation Programs, particularly using satellite imagery. Dr. Sharifi has led multiple research projects funded by prestigious organizations such as the National Natural Science Foundation of China, contributing significantly to the fields of hyperspectral image classification, crop mapping, and vegetation monitoring. With numerous publications and a strong academic background, he continues to advance innovative approaches in agricultural sustainability through technology.

Profile:

📚 Academic Background:

Dr. Alireza Sharifi graduated from the University of Tehran with expertise in geosciences and remote sensing applications, focusing on Earth Observation Programs for Precision Agriculture using satellite imagery.

🔍 Research Focus:

His research spans various projects, including hyperspectral image classification, spatio-temporal analysis of forest fires, and integration of satellite images for crop mapping. He has published extensively in reputed journals and holds multiple editorial appointments.

📊 Citations:

  • Citations: 1970 (1878 since 2019)
  • h-index: 28 (since 2019)
  • i10-index: 40 (since 2019)
📄 Publication:

1. Comparison the accuracies of different spectral indices for estimation of vegetation cover fraction in sparse vegetated areas
S Barati, B Rayegani, M Saati, A Sharifi, M Nasri
The Egyptian Journal of Remote Sensing and Space Science 14 (1), 49-56, 2011
Citations: 221

2. Hyperspectral image classification using a hybrid 3D-2D convolutional neural networks
S Ghaderizadeh, D Abbasi-Moghadam, A Sharifi, N Zhao, A Tariq
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Citations: 132

3. Yield prediction with machine learning algorithms and satellite images
A Sharifi
Journal of the Science of Food and Agriculture 101 (3), 891-896, 2021
Citations: 105

4. Spatio-temporal analysis of forest fire events in the Margalla Hills, Islamabad, Pakistan using socio-economic and environmental variable data with machine learning methods
A Tariq, H Shu, S Siddiqui, I Munir, A Sharifi, Q Li, L Lu
Journal of Forestry Research 33 (1), 183-194, 2022
Citations: 76

5. Crop type classification by DESIS hyperspectral imagery and machine learning algorithms
N Farmonov, K Amankulova, J Szatmári, A Sharifi, D Abbasi-Moghadam, …
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Citations: 62

6. Assessing spatio-temporal mapping and monitoring of climatic variability using SPEI and RF machine learning models
SS Wahla, JH Kazmi, A Sharifi, SA Shirazi, A Tariq, H Joyell Smith
Geocarto International 37 (27), 14963-14982, 2022
Citations: 62

7. Multiscale dual-branch residual spectral–spatial network with attention for hyperspectral image classification
S Ghaderizadeh, D Abbasi-Moghadam, A Sharifi, A Tariq, S Qin
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Citations: 60

8. Evaluation of vegetation indices and phenological metrics using time-series MODIS data for monitoring vegetation change in Punjab, Pakistan
P Hu, A Sharifi, MN Tahir, A Tariq, L Zhang, F Mumtaz, SHIA Shah
Water 13 (18), 2550, 2021
Citations: 59

9. Flash flood susceptibility assessment and zonation by integrating analytic hierarchy process and frequency ratio model with diverse spatial data
A Tariq, J Yan, B Ghaffar, S Qin, BG Mousa, A Sharifi, ME Huq, M Aslam
Water 14 (19), 3069, 2022
Citations: 57

10. Remote sensing satellite’s attitude control system: rapid performance sizing for passive scan imaging mode
A Kosari, A Sharifi, A Ahmadi, M Khoshsima
Aircraft Engineering and Aerospace Technology 92 (7), 1073-1083, 2020
Citations: 57

11. Flood mapping using relevance vector machine and SAR data: A case study from Aqqala, Iran
A Sharifi
Journal of the Indian Society of Remote Sensing 48 (9), 1289-1296, 2020
Citations: 55

12. Modeling and predicting land use land cover spatiotemporal changes: A case study in Chalus Watershed, Iran
S Jalayer, A Sharifi, D Abbasi-Moghadam, A Tariq, S Qin
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Citations: 54

13. Integration of Sentinel 1 and Sentinel 2 satellite images for crop mapping
S Felegari, A Sharifi, K Moravej, M Amin, A Golchin, A Muzirafuti, A Tariq, …
Applied Sciences 11 (21), 10104, 2021
Citations: 54

14. Development of a method for flood detection based on Sentinel‐1 images and classifier algorithms
A Sharifi
Water and Environment Journal 35 (3), 924-929, 2021
Citations: 54

15. Estimation of forest biomass using multivariate relevance vector regression
A Sharifi, J Amini, R Tateishi
Photogrammetric Engineering & Remote Sensing 82 (1), 41-49, 2016
Citations: 54

16. Agro climatic zoning of saffron culture in Miyaneh city by using WLC method and remote sensing data
A Zamani, A Sharifi, S Felegari, A Tariq, N Zhao
Agriculture 12 (1), 118, 2022
Citations: 50

17. Forest biomass estimation using synthetic aperture radar polarimetric features
A Sharifi, J Amini
Journal of Applied Remote Sensing 9 (1), 097695-097695, 2015
Citations: 49

18. Remotely sensed vegetation indices for crop nutrition mapping
A Sharifi
Journal of the Science of Food and Agriculture 100 (14), 5191-5196, 2020
Citations: 47

19. Using Sentinel-2 data to predict nitrogen uptake in maize crop
A Sharifi
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Citations: 47

20. Speckle reduction of PolSAR images in forest regions using fast ICA algorithm
A Sharifi, J Amini, JT Sri Sumantyo, R Tateishi
Journal of the Indian Society of Remote Sensing 43, 339-346, 2015
Citations: 47