Franciely da Silva Ponce | Agronomic | Best Researcher Award

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Prof Dr Franciely  da Silva Ponce |  Agronomic |  Best Researcher Award

Prof Dr at  Universidade Paranaense,  Brazil

Franciely da Silva Ponce is a full professor in the Agronomic Engineering course at Paranaense University (UNIPAR) and a faculty member of the Postgraduate Program in Biotechnology Applied to Agriculture. She holds a Ph.D. in Agronomy (Horticulture) from São Paulo State University (UNESP), where her research focused on the integrated management of Lepidoptera pests in brassicas using Trichogramma pretiosum. Franciely completed her Master’s degree in Environment and Agricultural Production Systems at the State University of Mato Grosso (UNEMAT), focusing on the environmental and economic aspects of cabbage cultivation. Her undergraduate degree in Agronomy was also obtained from UNEMAT, where she researched the propagation of Byrsonima cydoniifolia. She has additional training in plant biochemistry and cultural management. Her research interests include tropical horticulture, vegetable production, pest management, and integrated pest management. Franciely has been involved in various research and extension activities, including technology transfer in vegetable production and teaching at multiple institutions.

Profile:

Academic Background:

🎓 PhD in Agronomy (Horticulture)
São Paulo State University (UNESP), Brazil
Title: Integrated Management of Lepidoptera Pests in Brassicas Using Trichogramma pretiosum Riley
Year: 2021

🎓 Master’s in Environment and Agricultural Production Systems
State University of Mato Grosso (UNEMAT), Brazil
Title: Environmental, Productive and Profitability Analysis of Cabbage Cultivation
Year: 2018

🎓 Degree in Agronomy
Mato Grosso State University (UNEMAT), Brazil
Title: Feasibility of Using Cuttings and Indolbutyric Acid in the Propagation of Murici
Year: 2015

Current Positions:

👩‍🏫 Full Professor
Paranaense University (UNIPAR), Brazil

  • Agronomic Engineering Course
  • Postgraduate Program in Biotechnology Applied to Agriculture

Research Interests:

🌿 Tropical Horticulture

  • Horticulture and Society
  • Management and Production of Vegetable Species
  • Integrated Pest Management
  • Protected Cultivation
  • Non-Conventional Vegetables
  • Post-Harvest Vegetables
  • Cost and Profitability of Vegetable Production

Professional Experience:

  • Scholarship Holder, Research Fellow
    Mato Grosso State University (UNEMAT)

    • Vegetable Cultivation in Protected Environments
  • Guest Professor
    Mato Grosso State University (UNEMAT)

    • Production and Quality of Vegetables (Master’s course)

Publication Top Notes:

  • Melon Cultivation Under Agrotextile Increases Production and Reduces Phytosanitary Products
  • Profitability and Efficiency of Conduction Systems and Optimal Tomato Density for Fresh Consumption
  • Desafios e Perspectivas do Manejo da Traça-do-Tomateiro
  • Do the Training System and Spacing Affect the Productivity and Quality of Tomato Plants?
  • Adubação Silicatada na Produtividade e Respostas Fisiológicas das Plantas
  • Effect of Polycarbonate and Agricultural Film on Production and Biochemical Compounds of Tomato Fruits
  • Produtividade, Custo e Rentabilidade de Couve Produzida Sob Túnel Baixo
  • Does the Physiological Trade-Off Between Reproduction and Defense Affect the Physiological and Biochemical Parameters of Tomato Plants Infested with Bemisia tabaci MED and MEAM1?
  • Dispersão de Trichogramma pretiosum Riley (Hymenoptera: Trichogrammatidae) em Cultivos de Couve e Repolho
  • Teores de Macro e Micronutrientes em Plantas de Jambu Cultivadas em Ambiente Protegido
  • Controle Cultural de Nematoides em Alface, Utilizando Cobertura de Solo e Consórcio com Cravo-de-Defunto
  • Curva de Absorção de Água em Sementes de Sete Cascas em Função do Tamanho
  • Produção e Qualidade de Melão Amarelo Submetido a Diferentes Sistemas de Plantio
  • Viabilidade Agroeconômica do Cultivo de Híbridos Tomateiro de Hábito Determinado no Período de Safra e Entressafra na Região Central Matogrossense
  • Viabilidade do Uso de Estacas e Ácido Indolbutírico na Propagação de Murici (Byrsonima cydoniifolia A. Juss.)
  • Produção de Cultivares de Almeirão Sob Diferentes Telados e Campo Aberto em Clima Tropical
  • Curva de Absorção de Nutrientes em Jambu (Spilanthes oleracea L.), Cultivado em Sistema Hidropônico
  • Índices Morfofisiológicos de Alface Produzidas em Diferentes Substratos Sob Ambiente Protegido

 

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