Michele Pisante | Innovation | Best Researcher Award

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Prof Dr Michele Pisante | Innovation | Best Researcher Award

Professor at  University of Teramo, Italy

Michele Pisante is a distinguished Professor of Agronomy at the University of Teramo, affiliated with the Department of Biosciences and Agro-Food and Environmental Technology. Additionally, he serves as a member of the PhD Course in Crop Science at the University of Padova in Italy. Pisante’s research is primarily concentrated on Sustainable Intensification of Agricultural Production, encompassing areas such as soil and water conservation, decision-making tools for digital agriculture, and the enhancement of sustainable agriculture growth and natural resource management.

 

Publication Profile:🌟👨‍🎓

📖 Editorial Roles:

  • Guest editor of Special Issue on “Sustainable Crop Production Intensification” (AIMS “Agriculture and Food” international OAJ)
  • Guest editor of “Conservation Agriculture for Ecosystem Services”
  • Guest editor of “Digital Imaging of Plants” article collection (Frontiers in Plant Science)

📚 Contributions:

  • Scientific Director, Edagricole “University and Education” academic editorial book series
  • Author of international books and publications (71 on Scopus)
  • h-index: 25; T-citations: 2946

🔍 Research Focus:

  • Sustainable Intensification of Agricultural Production
  • Soil and Water Conservation
  • Decision-Making Tools for Digital Agriculture
  • Sustainable Agriculture Growth and Natural Resource Management

Citations:

  • Citations: 2,950
  • Documents: 2,755
  • Total Publications: 71
  • h-index: 25

 

Publications Top Notes:
  1. Title: Development and Evaluation of a Prototype of Shape-Adaptable and Portable All-Digital PET System for In-Lab and In-Field Plant Imaging
    Authors: Antonecchia, E., D’ascenzo, N., Cantalamessa, S., … Pisante, M., Xie, Q.
    Journal: IEEE Transactions on Nuclear Science, 2024, 71(1), pp. 113–120
  2. Title: Modelling and mapping Soil Organic Carbon in annual cropland under different farm management systems in the Apulia region of Southern Italy
    Authors: Petito, M., Cantalamessa, S., Pagnani, G., Pisante, M.
    Journal: Soil and Tillage Research, 2024, 235, 105916
  3. Title: Sustainable Agriculture and the Environment
    Authors: Farooq, M., Gogoi, N., Pisante, M.
    Publication: Book, 2023, pp. 1–566
  4. Title: Education and information dissemination for sustainable agriculture and environment
    Authors: Pisante, M., Nematpour, A., Kassam, A.
    Publication: Book Chapter, Sustainable Agriculture and the Environment, 2023, pp. 503–530
  5. Title: Sustainability, sustainable agriculture, and the environment
    Authors: Pisante, M., Gogoi, N., Farooq, M.
    Publication: Book Chapter, Sustainable Agriculture and the Environment, 2023, pp. 3–24

 

AKSHAY PANDEY | Innovation | Young Scientist Award

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Mr AKSHAY PANDEY | Innovation | Young Scientist Award

Project Consultant at  INDIAN INSTITUTE OF TECHNOLOGY ROORKEE, India

Akshay Pandey is a distinguished professional in the field of geosciences and computer science. He holds a Ph.D. from the Indian Institute of Technology-Roorkee, where his research focused on improving accuracy in vegetation classification on satellite data. Akshay has been an active member of various prestigious organizations, including the European Geosciences Union (EGU), American Geophysical Union (AGU), and the Emirati Society of GIS and Remote Sensing.

 

Publication Profile:🌟👨‍🎓

🎓 Education:

Ph.D. in Computer Science, Indian Institute of Technology-Roorkee, 2017-2023 (CGPA: 9.000/10.000). M.Tech in Computer Science and Engineering, OPJS University Rawatsar Rajasthan, 2014-2016 (80.00%). B.E. in Computer Science and Engineering, Rajiv Gandhi Proudyogiki Vishwavidyalaya Bhopal, 2008-2012 (71.00%). H.S.C, Saraswati H.S. School Chhatarpur, 2007-2008 (76.00%). S.S.C, Saraswati H.S. School Chhatarpur, 2005-2006 (84.00%)

🏆 Professional Achievements:

Founder of Raveneye Geospatial, a startup under TIDE, IIT Roorkee (Startup India Program by Govt. Of India) since 2019. Member of European Geosciences Union (EGU) ID 478133. IEEE Young Professional Member ID: 95426155. Member of the American Geophysical Union (AGU). Member of the Emirati Society of GIS and Remote Sensing ID 20210284. Lifetime Member of the Seismological Society of America.

🛠️ Professional Skills:

Geospatial Tools: ERDAS Imagine, ArcGIS, Google Earth, QGIS, PIX4D. UAV flight planning and data processing. Spectroradiometer: SVC-1024. Deep Learning. Web GIS: Open Layer, GeoExt, Apache, XAMPP, and other open-source platforms. Application Server: Geo-Server. Database: Post GIS (Basic), MySQL. Operating System: Linux and Windows. Space Management, System Networking, and Server Management. Database Server and RAID Server Configuration and Management. Hardware and Software Maintenance.

 

Research Focus 🌱🔬:

Akshay Pandey’s research primarily centers around the intersection of advanced computer vision and geospatial applications. His work spans diverse domains within the field: 🍃 Plant Pathology: Contributions to plant health with innovative deep learning models, such as a deep attention residual network and robust attention dense convolutional neural networks. Published in renowned journals like Neural Computing and Applications and Ecological Informatics. 🌾 Precision Agriculture: Innovative systems for crop identification and classification using UAV images, showcasing expertise in intelligent systems and conjugated dense convolutional neural networks. Published in Computers and Electronics in Agriculture. 📡 Remote Sensing Calibration: Expertise in satellite imagery calibration using multispectral UAV imagery, as highlighted in the Journal of the Indian Society of Remote Sensing. 🌳 Environmental Impact Assessment: Research involving spectro-radiometer and spectral indices for environmental impact assessment on mango tree leaves, emphasizing sustainable practices. 🛰️ Satellite Image Analysis: Contributions to the field of satellite image analysis, including an optimal RetinaNet model for automatic satellite image-based missile site detection, featured in the Defence Science Journal. Akshay Pandey’s versatile research portfolio showcases a commitment to advancing agricultural technology, environmental monitoring, and satellite image analysis through cutting-edge computational techniques. 🌐🌱🛰️

Citations:

The provided information appears to be related to a researcher’s citation metrics. Here’s a brief summary:

📚 Citation Metrics:

  • Citations: 82 citations across 9 documents.
  • h-index: 4.

The h-index of 4 indicates that there are at least 4 documents that have each been cited at least 4 times. This metric provides a measure of both the productivity and impact of a researcher’s work. The citation count of 82 suggests a notable influence in the academic community. 📊🔬

Publications Top Notes:

Research Articles by Akshay Pandey:

  1. Title: A Novel Change Point Detection Approach for Analysis of Time-Ordered Satellite Imagery
    • Authors: Yadav, A.; Jain, K.; Pandey, A.; Majumdar, J.
    • Journal: Journal of the Indian Society of Remote Sensing, 2023, 51(1), pp. 31–41
  2. Title: Plant Leaf Disease Classification using Deep Attention Residual Network Optimized by Opposition-Based Symbiotic Organisms Search Algorithm
    • Authors: Pandey, A.; Jain, K.
    • Journal: Neural Computing and Applications, 2022, 34(23), pp. 21049–21066
  3. Title: A Robust Deep Attention Dense Convolutional Neural Network for Plant Leaf Disease Identification and Classification from Smart Phone Captured Real World Images
    • Authors: Pandey, A.; Jain, K.
    • Journal: Ecological Informatics, 2022, 70, 101725
  4. Title: An Optimal RetinaNet Model for Automatic Satellite Image-Based Missile Site Detection
    • Authors: Yadav, A.; Jain, K.; Pandey, A.; Ranyal, E.; Majumdar, J.
    • Journal: Defence Science Journal, 2022, 72(5), pp. 753–761
  5. Title: An Intelligent System for Crop Identification and Classification from UAV Images using Conjugated Dense Convolutional Neural Network
    • Authors: Pandey, A.; Jain, K.
    • Journal: Computers and Electronics in Agriculture, 2022, 192, 106543

Akshay Pandey’s research spans diverse topics, including change point detection in satellite imagery, plant leaf disease classification, robust neural networks for image analysis, satellite image-based missile site detection, and intelligent systems for crop identification using UAV images. The significant citation counts reflect the impact and recognition of his contributions in these areas. 🛰️🌿🔬