جست‌وجوی استاد و پژوهشگر

Senthold Assengمشاهده پروفایل

استاد

• Digital Agriculture
• Climate Change Impacts
• Sustainable Crop Production
• +۵ مورد دیگر

Prof. Senthold Asseng is a Professor of Digital Agriculture at the Technical University of Munich (TUM), leading the Hans Eisenmann Forum for Agricultural Sciences since 2021. His research focuses on climate-plant-soil systems modeling, addressing global food security, sustainable agriculture, and digital technologies like vertical farming and autonomous robotics. He holds a PhD from Humboldt University Berlin and habilitation from TUM, with prior roles at CSIRO Australia and the University of Florida (as Full Professor and Director of the Florida Climate Institute). His honors include AAAS Fellow, Web of Science Highly Cited Researcher, and multiple teaching/mentorship awards. Education: BSc/MSc in Agronomy & Horticulture, Humboldt University Berlin (1989-1990) PhD in Agronomy, Humboldt University Berlin (1994) Habilitation in Agronomy, TUM (2004) Research Interests: Climate change impacts on crops, digital agriculture technologies, systems analysis for autonomous farming, and vertical farming sustainability. His work integrates modeling, robotics, and environmental control to enhance agricultural resilience and productivity. Awards: AAAS Fellow (2019) Highly Cited Researcher (2019) UF Research Foundation Professor (2016-2019) Grants & Leadership: Led interdisciplinary projects like AgMIP-Wheat, SECC, and FAO advisory roles. Active in editorial roles for journals like Global Change Biology and Environmental Research Letters . Labs/Teams: Chair of Digital Agriculture at TUM, collaborating on projects like Smartfield and Proteins4Singapore , focusing on automation, controlled environment agriculture, and climate-smart solutions.

• Wine Chemistry
• Analytical Chemistry
• Food Science
• +۳ مورد دیگر

Associate Professor David Jeffery is affiliated with the University of Adelaide's School of Agriculture, Food and Wine, within the Faculty of Sciences, Engineering and Technology. He holds an academic rank of Associate Professor/Reader and is based at Wine Innovation Central in the Waite campus. His research focuses on grape and wine chemistry, particularly aroma, flavor, and polyphenol analysis using advanced techniques like HPLC-MS/MS and GC-MS. He investigates the impact of vineyard and winemaking conditions on wine composition, including studies on tannin behavior, sulfur compounds, and oxidative processes. Jeffery co-authored the textbook *Understanding Wine Chemistry*, a global resource in wine science education. His work also explores machine learning applications for predicting sensory traits and authenticating wine origins. Active in mentoring, he supervises Masters and PhD students in topics spanning analytical method development, compound synthesis, and wine quality enhancement. Research highlights include studies on wildfire smoke mitigation in wine production, fluorescence spectroscopy for quality control, and mathematical modeling of anthocyanin interactions. He collaborates with industry partners like Wine Australia and leads projects funded by the ARC Training Centre for Innovative Wine Production. His contributions bridge fundamental chemical research with practical applications in the wine industry, addressing challenges like climate change impacts and sustainable winemaking practices.

Elinor Benamiمشاهده پروفایل

استادیار

• Environmental Economics
• Development Economics
• Agricultural Economics
• +۳ مورد دیگر

Elinor Benami is an **Assistant Professor** in the Agricultural and Applied Economics Department at Virginia Tech. She holds affiliations with the VT Remote Sensing & Global Change Center, the Center for Advanced Innovation in Agriculture, and Stanford’s RegLab. Her research focuses on environmental and development economics, leveraging satellite imagery and machine learning to enhance disaster financing and environmental compliance. She earned a B.A. from UNC Chapel Hill, a Ph.D. from Stanford University, and a postdoc at UC Davis. **Research Interests**: Climate risk management, agricultural resilience, remote sensing applications, and policy design for sustainable agriculture. Current projects include NASA-funded work on Moroccan irrigation and drought financing, and evaluating U.S. environmental compliance using AI. **Awards/Grants**: Led a $650K NASA Harvest grant, part of a $80M climate-smart agriculture initiative, and received the VT Early Career Scholarly Impact Award Nominee. Active in policy, including advising the EPA on environmental compliance algorithms. **Teaching**: Courses include 'Remote Sensing in Social Sciences', 'Climate Risk Management', and 'Environmental and Sustainable Development Economics'. Mentors students at all levels, emphasizing computational skills and social impact. **Affiliations**: NASA Harvest, VT Remote Sensing IGEP, and the Alliance for Climate-Smart Agriculture. Collaborates with global institutions on drought financing and satellite data applications.

Luca Sebastianiمشاهده پروفایل

استاد

• Plant Physiology
• Molecular Plant Stress Responses
• Nutraceuticals in Plants
• +۳ مورد دیگر

Luca Sebastiani is a Full Professor in Horticultural Sciences (AGR/03) at Scuola Superiore Sant'Anna in Pisa, Italy, since 2014. He currently coordinates the PhD Course in AgroBioSciences and has previously served as Director of the Institute of Life Sciences (2016-2021). His academic career includes roles as Associate Professor (2002-2014) and Assistant Professor (1998-2002) at the same institution. PhD in Plant Biology from Scuola Superiore Sant'Anna (1996) MSc in Agricultural Sciences from University of Pisa (cum laude, 1991) Postdoctoral research in agricultural biotechnology (1996-1998) Research Interests: Focus on plant-environment interactions, particularly abiotic and biotic stress responses in crops. Key areas include: Physiological and molecular responses to climate change stressors Nutraceutical enhancement of food crops Plant germplasm conservation using molecular markers Agriculture 4.0 integrating AI, IoT, and robotics Phytoremediation using poplar and Brassica species Scientific Contributions: His work bridges molecular mechanisms (aquaporin function, heavy metal transport) with ecosystem-level applications (precision irrigation, contaminant phytoremediation). Recent publications emphasize genome sequencing, stress tolerance modeling, and nutraceutical food development. ISHS Medal for SapFlow Workshop organization (2011) Giovanni Spitali Foundation Award for PhD dissertation (1998) Collaborations: Extensive international collaborations with institutions like Beijing Forestry University, Comenius University, and Purdue University. Currently supervises projects in plant phenotyping, omics technologies, and sustainable crop management.

Mahendra Bhandariمشاهده پروفایل

استادیار

• Digital Agriculture
• Remote Sensing
• Precision Agriculture
• +۳ مورد دیگر

Dr. Mahendra Bhandari is an Assistant Professor at Texas A&M AgriLife Research and Extension Center in Corpus Christi, affiliated with the Texas A&M College of Agriculture and Life Sciences. He holds a B.S. in Agriculture from Tribhuvan University (2011), an M.S. in Plant, Soil and Environmental Science from West Texas A&M University (2016), and a Ph.D. in Agronomy from Texas A&M University (2020). Affiliations: Texas A&M AgriLife Research, Texas A&M College of Agriculture and Life Sciences Roles: Lead researcher in Digital Agriculture, UAS-based phenotyping, and precision agriculture His research focuses on integrating remote sensing (UAS, satellite, ground sensors), big data analytics, and machine learning to improve crop management and breeding. Key areas include high-throughput phenotyping for cotton, corn, and sorghum; UAS data integration for crop yield prediction; and digital twin frameworks for in-season management. Collaborators include Dr. Juan Landivar-Bowles and Dr. Jinha Jung. Publications emphasize UAS applications in crop monitoring, yield estimation, and disease detection. His work bridges agronomic principles with emerging technologies to enhance agricultural resilience. Key Projects: UAS-based HTP system development Satellite-UAV data fusion for precision irrigation Mechanistic models for cotton yield forecasting Labs/Teams: Leads the Digital Agriculture research team at Texas A&M AgriLife, focusing on UAS innovation and AI-driven agricultural solutions.

• Climate Change Adaptation in Agriculture
• Land Use Modeling
• Biodiversity Conservation
• +۳ مورد دیگر

Thomas Berger is a Professor at the University of Hohenheim , affiliated with the Faculty of Agricultural Sciences and leading the Department of Economics of Land Use . He also contributes to the Computational Science Hub and Hohenheim Tropics initiatives. Focus Areas: Climate change adaptation, land-use modeling, biodiversity-productivity trade-offs, agent-based simulation, and machine learning in agricultural systems. Key Projects: Simulation frameworks for smallholder resilience in Ethiopia, bioeconomic modeling in the Amazon, and hybrid intelligence applications in European agricultural policy. Recent Publications: 2025 study on climate change effects on insecticide reduction in Germany, 2024 work on reconciling biodiversity with productivity via hybrid models, and 2023 methodological contributions to surrogate modeling and seasonal forecast integration. Research Trends: Interdisciplinary integration of climate science, agricultural economics, and computational modeling, with increasing emphasis on AI-assisted decision support systems and sustainability policy validation. Teaching & Outreach: Offers Agricultural Economics seminars and Hohenheim Tropics discussions, requiring advance email registration for office hours.

Stavros G. Vougioukasمشاهده پروفایل

استاد

• Agricultural Robotics
• Mechanization of Specialty Crops
• Automation in Harvesting
• +۵ مورد دیگر

Stavros G. Vougioukas is a Professor and Vice Chair in the Department of Biological and Agricultural Engineering at the University of California, Davis. His research focuses on agricultural robotics, mechanization, and automation for specialty crops, with particular emphasis on robotic harvesting systems and precision agriculture technologies. He leads initiatives in developing actuator systems, perception, and control mechanisms to optimize crop management. Key areas of expertise include robotic fruit harvesting, autonomous vehicle navigation in orchards, and site-specific pest management strategies. His work integrates mechanical engineering principles with advanced automation to address labor shortages and improve agricultural efficiency. Recent projects emphasize data-driven solutions for yield estimation, worker activity analysis, and economic viability of robotic systems. Academic contributions span over 50 peer-reviewed publications (2023-2025), with a focus on robotic orchard platforms, crop transport systems, and sensor-based automation. Notable innovations include vacuum suction end-effectors for fruit harvesting and GNSS-free navigation systems for autonomous vehicles. He also explores sustainable agricultural machinery through techno-economic analyses of electric/hybrid tractors. Current research bridges robotics and agricultural economics, addressing labor cost optimization and precision irrigation. His lab collaborates with industry partners to translate prototypes into field-ready solutions, emphasizing practical applications for specialty crop production systems.

• Biosensors
• Microfluidics
• Microfabrication
• +۸ مورد دیگر

Renny Edwin Fernandez is an Associate Professor in the Department of Engineering at Norfolk State University's College of Science, Engineering and Technology. His multidisciplinary research focuses on microsensing platforms for healthcare, pollution control, and agriculture applications. Education: PhD in Electrical Engineering (2010) from Indian Institute of Technology Madras His research integrates microfabrication, microfluidics, and machine learning to develop wearable biosensors, disposable electrodes, and IoT-enabled soil monitoring systems. Key trends in his recent publications include: Real-time health monitoring via flexible nanosensors Machine learning integration in agricultural IoT Plasma-aided printing of conductive nanomaterials Smart PPE systems with NFC technology Scientific Awards: Research Initiation Award (2020) for cognitive monitoring systems in extreme environments Dr. Fernandez mentors graduate and undergraduate researchers at NSU, with prior teaching experience at University of Indianapolis and Florida International University. He holds a patent for biosensor technology and has developed innovative solutions for: Salivary cortisol detection Soil nutrient analysis Cell viability assessment Smart irrigation systems

Brenda V. Ortizمشاهده پروفایل

استاد

• Precision Agriculture
• Agricultural Technology
• Irrigation Systems
• +۳ مورد دیگر

Brenda V. Ortiz is a Professor and Extension Specialist in Precision Agriculture at Auburn University's College of Agriculture, Department of Crop, Soil & Environmental Sciences. Her work focuses on integrating artificial intelligence, sensor technologies, and precision farming techniques to enhance agricultural productivity and sustainability. She leads initiatives such as the Envisioning 2050 in the Southeast: AI-Driven Innovations in Agriculture Conference , which explores cutting-edge solutions for modern farming challenges. Her research emphasizes climate- and water-smart irrigation practices, soil sensor implementation, and optimizing crop management through data-driven approaches. Key projects include improving center pivot irrigation systems, promoting adoption of precision irrigation tools, and conducting farmer competitions to evaluate profit-optimizing strategies in corn production. Brendra's extension efforts bridge academic research with practical applications, including workshops on soil moisture monitoring, irrigation scheduling algorithms, and digital farming platforms like DigitalAG@Farms . She collaborates closely with Alabama farmers and agricultural stakeholders to address regional challenges in sustainable agriculture. No scientific awards are listed, but her contributions to applied agricultural research are highlighted through her extensive extension publications and conference leadership. Grants and advising details are not explicitly mentioned in the provided text.

Saleh Taghvaeianمشاهده پروفایل

دانشیار

• Irrigation Engineering
• Water Resources Management
• Precision Agriculture
• +۴ مورد دیگر

Saleh Taghvaeian is an Associate Professor in the Department of Biological Systems Engineering at the University of Nebraska-Lincoln and a Faculty Fellow at the Daugherty Water for Food Global Institute. His research focuses on precision irrigation systems, water resource management, and climate-resilient agricultural practices. He holds a Ph.D. in Irrigation Engineering from Utah State University and academic degrees from Ferdowsi University of Mashhad, Iran. Education: Ph.D., Irrigation Engineering, Utah State University M.S., Irrigation Engineering, Ferdowsi University of Mashhad, Iran B.S., Irrigation Engineering, Ferdowsi University of Mashhad, Iran Research Interests: His work integrates remote sensing, hydrological modeling, and machine learning to address challenges in irrigation efficiency, drought response, and sustainable water use. Key areas include soil moisture dynamics, crop water productivity, and the application of big data in agricultural systems. Publications Trends: Recent articles emphasize GRACE data downscaled analysis for water storage monitoring, AquaCrop modeling for crop performance under water stress, and machine learning applications in precision agriculture. His work spans transboundary water basins (Indus), U.S. High Plains, and Oklahoma Panhandle regions. Awards: 2021 Oklahoma State University Distinguished Early Career Faculty Award 2019 ASABE Larry W. Turner Young Extension Professional Award 2018 Oklahoma Cooperative Extension Service Honor Award Grants and Advising: Leads research projects on irrigation energy conservation, soil salinity mitigation, and agricultural drought resilience. Collaborates with institutions like USDA, UCOWR, and international partners on transboundary water management. Labs/Teams: Active in Nebraska's Water for Food Institute, leading interdisciplinary teams developing decision-support tools for irrigators and policymakers. Engaged in extension programs promoting smart irrigation technologies and water policy advocacy.

• Agricultural Engineering
• Precision Agriculture
• Control Systems
• +۴ مورد دیگر

Dr. Alison McCarthy is an Associate Professor in Irrigation and Cropping Systems at the Centre for Agricultural Engineering , University of Southern Queensland . With a background in mechatronic engineering, she specializes in developing automated irrigation systems and machine vision technologies for cotton and dairy pasture management. Education: BEng (2006) and PhD (2010) from University of Southern Queensland Research Interests: Irrigation control systems Machine vision for soil and plant sensing Automation in agriculture Recent Publications highlight her work in nitrogen management, autonomous irrigation frameworks, and pest detection systems. These contributions align with her expertise in AI-driven agricultural solutions and sensor integration. Scientific Awards: 2024 Australian Future Cotton Leader 2021 WatSave Young Professionals Award 2018 Cotton Seed Distributors Researcher of the Year 2015 Queensland Young Tall Poppy Science Award 2014 Science and Innovation Award for Young Professionals Research Affiliations: Centre for Agricultural Engineering (CAE) Association of Australian Cotton Scientists (Full Member)

• Environmental Engineering
• Water Quality Management
• Watershed Management
• +۴ مورد دیگر

Jane Frankenberger is a Professor in the Department of Agricultural & Biological Engineering at Purdue University, specializing in environmental and natural resources engineering. She holds a B.A. in Physics from St. Olaf College, an M.S. in Agricultural Engineering from the University of Minnesota, and a Ph.D. from Cornell University. Her career includes eight years working in Africa (DRC and Senegal) and roles at the U.S. EPA and USDA. Currently, she serves as the Extension Water Quality Coordinator, leading projects on watershed management, drinking water protection, and TMDL compliance. Her research focuses on agricultural drainage, water quality, and climate change adaptation in drained landscapes. She teaches a graduate course on GIS applications and has contributed to over 100 peer-reviewed articles, emphasizing nutrient reduction strategies and drainage management. Education: B.A. Physics, St. Olaf College M.S. Agricultural Engineering, University of Minnesota Ph.D. Agricultural & Biological Engineering, Cornell University Key Roles: Extension Water Quality Coordinator Lead of water quality projects in Indiana Author of extension publications on watershed management Research Interests: Her work addresses watershed management, conservation drainage practices, and climate resilience in agricultural systems. She develops models to assess the effectiveness of conservation practices and integrates geospatial tools for decision-making. Recent studies focus on nitrate dynamics in tile-drained systems and climate change impacts on crop yields. Publications highlight trends in drainage water management, nutrient load reduction, and interdisciplinary approaches to sustainable agriculture. Her work bridges engineering, ecology, and policy to improve water resource management at local and global scales. Grants and collaborations include USDA-NIFA projects on transforming drainage research and international initiatives in Peru and Colombia. She emphasizes stakeholder engagement through workshops and outreach programs to enhance community-driven water management solutions.

Sudeep Singh Sidhuمشاهده پروفایل

استادیار

• Agricultural Sustainability
• Precision Agriculture
• Soil Science
• +۶ مورد دیگر

Dr. Sudeep Singh Sidhu is an Assistant Professor in the Agronomy Department at the University of Florida's North Florida Research and Education Center (NFREC) in Quincy, FL. His research focuses on developing site-specific nutrient and water management strategies for agronomic crops, with a particular emphasis on cropping systems in Florida, including peanut-cotton rotations and sod-based systems. He leads efforts in precision agriculture technologies, such as Veris MSP3 soil mapping, capacitance-based soil moisture probes, and sensor-based nitrogen management tools. His work aims to reduce nitrate leaching, improve soil health, and enhance crop sustainability through cover crops and integrated crop-livestock systems. Roles: Research and Extension Specialist, Lead on Sod-Based Rotation Demonstration, BMP Implementation Affiliations: NFREC-Quincy, UF/IFAS Extension Research Interests: Dr. Sidhu’s work spans precision agriculture, nutrient cycling, crop rotation impacts, and environmental stewardship. His projects address challenges in soil health, irrigation efficiency, and reducing agricultural runoff. He actively collaborates with growers to translate research into on-farm practices, such as nitrogen calibration strips and high-clearance equipment for sidedressing. Key Contributions: He has developed protocols for planting cover crops post-harvest to scavenge nitrogen, demonstrated the use of drain gauge lysimeters for nitrate monitoring, and evaluated new fertilizer technologies in corn, cotton, and peanuts. His extension efforts include organizing in-service trainings and field days to disseminate best practices. Grants and Partnerships: His projects are funded through collaborations with agricultural agencies and industry partners, focusing on BMP adoption and disaster resilience, such as post-Hurricane Idalia recovery strategies.

Lin Weiمشاهده پروفایل

استاد

• Bioenergy
• Biomass Conversion
• Food Processing and Safety
• +۳ مورد دیگر

Dr. Lin Wei is a Professor and Graduate Coordinator in the Department of Agricultural and Biosystems Engineering at South Dakota State University (SDSU). He holds a B.S. in Agricultural Engineering from China Agricultural University, M.S. in Mechanical Engineering (Guangxi University), and M.S./Ph.D. in Biological Engineering (Mississippi State University). His research focuses on biomass conversion, bioenergy production, smart agriculture, and food safety. He leads projects on biochar-based fertilizers, cold plasma food safety technologies, and AI-driven precision farming. Dr. Wei has authored over 80 peer-reviewed papers and secured $7M+ in grants. He chairs multiple professional committees (ASABE Renewable Energy, USDA-S1075, ISO-WG6) and serves as editor for journals like Agricultural Engineering and Transactions of the ASABE. Recent grants include biochar soil health studies ($583K USDA) and nanobubble dairy waste management ($22K SD WRI). His team develops smart sensors for crop monitoring and biopolymer nanocomposites for food packaging. Notable awards include 2024 Outstanding Researcher (College of Agriculture) and 2022 Excellence in Editing (ASABE). Ongoing work integrates thermochemical processes with AI to enhance biofuel production efficiency and environmental sustainability.

• Precision Agriculture
• Optical Engineering
• Remote Sensing
• +۳ مورد دیگر

Dr. Jose Manuel Sánchez Peña is a Full Professor at Universidad Carlos III de Madrid (UC3M), affiliated with the Grupo Universitario de Tecnologías de Identificación (GUTI). His research focuses on precision agriculture technologies, optoelectronics, and neuroscientific interfaces. He leads projects on drone-based crop monitoring, renewable energy systems, and machine learning applications in environmental science. Key research areas include: UAV remote sensing for water stress and weed management in viticulture and maize Optical communication systems leveraging photovoltaic integration Machine learning models for precision agriculture Neuroscientific studies on multisensory emotion elicitation Publishing trends show strong focus on: Drone technology advancements (42% of recent articles) Optoelectronics and VLC systems (28% of recent articles) Neuroscience applications (15% of recent articles) Sustainable agricultural practices (12% of recent articles) Laboratory activities center around GUTI's interdisciplinary teams working at the intersection of engineering, agriculture, and neurotechnology.