جست‌وجوی استاد و پژوهشگر

• Digital Agriculture
• Machine Systems Engineering
• Data Science
• +۴ مورد دیگر

Dr. Dennis Buckmaster is a Professor in Agricultural & Biological Engineering at Purdue University, serving as Dean's Fellow for Digital Agriculture. He holds a B.S. from Purdue University and M.S./Ph.D. from Michigan State University. His research focuses on digital agriculture, machine systems engineering, and data science applications in farming. He co-coordinates the Agricultural Systems Management program and teaches courses like Computing Technology with Applications and Ag Tech and Innovation. He leads the Open Ag Technology and Systems Center (OATS Center), advancing open-source solutions for agriculture through platforms like ISOBlue and OADA. His work integrates IoT, robotics, and machine learning to optimize crop production, livestock management, and farm decision-making. He has authored over 150 publications on precision agriculture technologies. Professional memberships include American Society of Agricultural and Biological Engineers and Fluid Power Society. He emphasizes data interoperability, edge computing, and bridging engineering with agricultural practices through collaborative frameworks like LATTICE and Meta Ag.

Duc-Anh An-Voمشاهده پروفایل

مدرس ارشد

• Climate Services
• Climate Change Adaptation
• Digital Agriculture
• +۳ مورد دیگر

Dr. Duc-Anh An-Vo is a Senior Lecturer at UniSQ College, University of Southern Queensland, affiliated with the Centre for Applied Climate Sciences and multiple interdisciplinary institutes. He holds a BEng from Ho Chi Minh University of Technology, MEng from Toyohashi University of Technology, and a PhD from USQ. His research focuses on computational modeling across engineering, climate science, and agricultural economics, with specialization in climate adaptation strategies, index insurance systems, and water resource management. He currently chairs capability-building initiatives in agricultural climate adaptation and serves as an academic editor for Plos Climate. Dr. An-Vo's work integrates multi-disciplinary approaches to address climate challenges in agriculture, including frost risk mitigation for wheat production, drought-resistant coffee farming systems, and water allocation conflict resolution using game theory. His computational modeling expertise spans APSIM crop simulation frameworks, satellite data integration, and FAIR-compliant dataset development. Recent projects include enhancing the Australian Drought Monitor's data accessibility and evaluating climate-smart agricultural practices in Vietnam and Australia. Key contributions include developing frost-index insurance frameworks, optimizing robusta coffee production under climate stress, and creating decision-support systems for seasonal climate forecasting in grazing enterprises. His research emphasizes practical solutions for farmers' financial resilience while advancing theoretical understanding of climate-ecosystem interactions.

Dennis Flanaganمشاهده پروفایل

استاد

• Soil Erosion Mechanics
• Water Quality Modeling
• Process-Based Soil Erosion Modeling
• +۴ مورد دیگر

Roles & Affiliations: Dennis Flanagan is a Professor Emeritus of Agricultural & Biological Engineering at Purdue University and an Agricultural Engineer with the USDA Agricultural Research Service (ARS) at the National Soil Erosion Research Laboratory (NSERL). He leads research on soil erosion mechanics, process-based modeling (WEPP), and water quality control. Education: B.S. from The Ohio State University, M.S. and Ph.D. from Purdue University. Research Focus: Soil erosion processes, WEPP model development, sediment transport, and applications in conservation planning. Notable contributions include leadership in USDA-NRCS model implementation, PAM/gypsum erosion control studies, and international symposiums on soil erosion research. Awards: ASABE Fellow (2011), organizer of landmark conferences (e.g., 2001 Soil Erosion Symposium, 2023 Climate-Driven Erosion Research), and leader in USLE/RUSLE technology development. Advising & Projects: Advised graduate students on erosion modeling and digital agriculture. Led USDA-ARS initiatives, collaborated with Iowa State University on WEPP interfaces, and pioneered PAM amendment research for erosion control. Labs & Teams: Director of NSERL, part of Purdue’s interdisciplinary research ecosystem in environmental and agricultural engineering.

• Crop Growth Modelling
• Cropping Systems Simulation
• Smart Farming
• +۴ مورد دیگر

Assoc. Prof. Dr. Ahmad M. Manschadi is a leading researcher at the Institute of Agronomy within the University of Natural Resources and Life Sciences, Vienna (BOKU) . With a focus on Crop Growth Modelling , Smart Farming , and Climate Change Adaptation , his work bridges mechanistic plant models with AI and remote sensing technologies. Current projects include CropSense , digital.twin.plant , and COMBIRISK , funded by the Austrian Research Promotion Agency (FFG) and European Commission. His research explores nitrogen use efficiency , root system dynamics , and digital phenotyping in crops like wheat, maize, and soybean. Scientific Awards : Queensland Premier’s Excellence Award for Innovation and Creativity (2005) Key Contributions : Supervised 18 theses, developed climate-adaptive crop management tools, and pioneered integration of APSIM and SSM-iCrop models in Austrian agriculture.

• Agronomy
• Crop Physiology
• Legumes
• +۷ مورد دیگر

Dr. Marisa Collins is an Associate Professor in Agronomy at La Trobe University's School of Agriculture, Food and Ecosystem Sciences, Department of Animal, Plant and Soil Sciences. With appointments spanning from 2006 to present, she has held progressive academic roles including Research Scientist at CSIRO, Senior Lecturer at University of Queensland, and current Associate Professor at La Trobe since 2024. Her educational background includes a PhD in Plant Science from the University of Melbourne (2006) and a Bachelor of Science (Honours) from the same institution (1999). Her research focuses on crop physiology and agronomy, particularly in legumes like mungbeans and pigeonpea, addressing water-use efficiency and abiotic stress responses. Collins' research portfolio demonstrates consistent focus on improving crop productivity through physiological understanding, with recent emphasis on mungbean modeling using APSIM Next Generation. Her work bridges field-based physiology with practical applications for broad-acre farming systems, particularly addressing drought and heat stress challenges in Australian agriculture. Current projects include GRDC-funded initiatives on mungbean yield gaps and NEXTGEN modeling. She has secured substantial research funding from GRDC, Agrifutures, ACIAR, and CRDC, with active projects including 'Genetic initiative to transform symbiotic nitrogen fixation' (2024-2028) and 'Development of RD&E Plan for the Lavender Industry' (2021-2022). Her collaborative network spans Australian research organizations and international partners. As an educator, Collins has coordinated the Bachelor of Agriculture program at La Trobe since 2022 and developed multiple agronomy courses. She has supervised numerous research students and serves on the Australian Council of Deans of Agriculture Learning and Teaching Academy. Her teaching philosophy emphasizes field-based practicals and industry engagement.

David Rowlingsمشاهده پروفایل

استاد

• Soil Science
• Environmental Science
• Agricultural Sustainability
• +۶ مورد دیگر

Professor David Rowlings is a soil scientist and Program Leader for Sustainable Agrifood Systems at Queensland University of Technology (QUT), affiliated with the Centre for Agriculture and the Bioeconomy. He holds a PhD from QUT and leads research at the intersection of environmental and agricultural science, focusing on sustainable farming systems and soil health. His work integrates advanced sensing technologies to mitigate greenhouse gases, improve fertiliser efficiency, and enhance soil carbon management across diverse agricultural sectors including beef, dairy, grains, sugar, and horticulture. Key research interests include soil carbon and nitrogen cycling, reactive nitrogen dynamics, subtropical farming systems, and organic amendments for soil health. He leads national projects such as the Smart Farming Partnerships initiative, developing tools for compost integration into fertiliser budgets. His expertise spans international systems, including cropping and rice agriculture in tropical regions. Rowlings collaborates with farmers, governments, and industries to address food security and environmental sustainability. His projects include soil carbon measurement, grazing management for ecosystem services, and hydrothermal sludge treatment for soil amendments. Professional memberships include the Soil Science Society of America and Soil Science Australia. Teaching responsibilities include coordinating EVB312 - Soils in the Environment. Supervision focuses on topics like agricultural waste utilization, soil carbon persistence, and carbon-neutral practices. His research outputs span over 30 peer-reviewed articles, with a focus on nitrogen dynamics, greenhouse gas mitigation, and sustainable agricultural practices.

Peter Graceمشاهده پروفایل

استاد

• Sustainable Agriculture
• Nitrogen Use Efficiency
• Greenhouse Gas Emissions
• +۳ مورد دیگر

Professor Peter Grace is a leading academic in global change research at Queensland University of Technology (QUT), affiliated with the Faculty of Science and School of Biology & Environmental Science. He holds adjunct positions at Michigan State University and Columbia University’s Earth Institute. His PhD from the University of Queensland underpins his expertise in sustainable agriculture, nitrogen use efficiency, and greenhouse gas mitigation. Key research focuses include soil carbon sequestration, agroecosystem simulation, and reducing emissions from agricultural systems through innovations like bioreactors and precision farming technologies. Grace has led major initiatives such as the $50M Australian Nitrous Oxide Research Program (2007–2016), coordinating automated sampling networks. Current projects address carbon balances in grasslands (TERN OzFlux), nitrate removal technologies (DAF), and nitrogen management in cotton/grain systems (GRDC & CRDC). He actively collaborates internationally, including with ACIAR on Indo-Pacific emission reduction strategies and with the Global Research Alliance’s Croplands Working Group. Educational Background: Doctor of Philosophy (University of Queensland). Research Interests: Sustainable agriculture practices, mitigation of greenhouse gases (especially N₂O), soil carbon dynamics, and advanced sensor technologies for nitrogen management. His work bridges science and policy to promote soil health and agricultural resilience globally. Notable Projects: Chief Investigator for projects on soil carbon platforms, emission reduction in Vietnam/Fiji, and APSIM nitrogen-cycling upgrades. His team develops tools like the Future Farm initiative, integrating AI and remote sensing for precision agriculture. Labs/Teams: Centre for Agriculture and the Bioeconomy at QUT, collaborating with TERN, MLA, and international agencies like ACIAR.

Jeff McCormickمشاهده پروفایل

مدرس ارشد

• Pasture Management
• Dual-purpose Crops
• Mixed Farming Systems
• +۳ مورد دیگر

Jeff McCormick serves as Senior Lecturer in Agronomy and Associate Head (Animal & Agriculture Science) at Charles Sturt University's School of Agricultural, Environmental and Veterinary Sciences. He teaches AGR203 Production Analysis and Optimisation, AGS301 Weed and Pesticide Sciences, and PSC360 Pastures and Rangelands, drawing on extensive field experience since rejoining CSU in 2016 after roles at NSW DPI and Lincoln University. He holds a BScAgr from the University of Sydney and a PhD from CSU focused on dual-purpose canola, integrating field agronomy, plant physiology, and APSIM modelling. McCormick's research centers on pasture management , dual-purpose crops , and mixed farming systems . His work investigates phytoestrogen impacts on livestock reproduction, sustainable pasture-crop rotations for nitrogen fixation, and weed control using allelopathic legumes in rice systems. Key themes address practical challenges in Australian agriculture, particularly reproductive physiology in grazing systems and low-rainfall zone productivity. Analysis of his 2023-2025 publications reveals dominant trends in livestock reproductive impacts from legume phytoestrogens, Indigenous agricultural representation, and phased farming systems. Notable patterns include quantification of conception rate disruptions, companion legume optimization for chicory systems, and socio-ecological studies of Indigenous employment in agriculture. Professional recognition includes membership in the Australian Society of Agronomy. McCormick has led research projects including 'Improving water and nutrient management to enable double cropping in the rice growing lowlands of Lao PDR and Cambodia' (2020) and industry assessments such as solar farm impacts on Riverine Plain Grasslands, demonstrating applied research bridging academic and agricultural sectors.

Di Heمشاهده پروفایل

عضو هیئت علمی

• Agricultural Systems Modelling
• Crop-Soil Systems Modelling
• Genotype x Environment x Management (GxExM) Interactions
• +۱۲ مورد دیگر

Dr Di He is a Senior Research Scientist at CSIRO Agriculture and Food in Canberra, Australia, with a strong research focus on agricultural systems modelling and climate resilience. She is co-leader of the AgMIP-Canola international modelling team and leads a CSIRO-CAS project on agri-climatic extremes. Her work integrates biophysical modelling with digital technologies to improve farm decision-making. Research Interests: Dr He specializes in genotype-by-environment-by-management (GxExM) interactions, climate change and extreme weather impacts on crops, and soil-plant systems modelling. She applies the APSIM platform to study water, carbon, and nutrient dynamics, and combines traditional modelling with machine learning, remote sensing, and phenotyping for digital agriculture solutions. Scientific Awards: John Philip Award for the Promotion of Excellence in Young Scientist (CSIRO, 2018) Best PhD Research and Presentation Award at MODSIM 2015 Advising and Grants: Dr He leads the CSIRO-CAS project (2023–2026) on new methods to detect and cope with extreme climate events in cropping systems. She has been co-leader of AgMIP-Canola since 2015, fostering international collaboration in canola model improvement. While no formal students are listed, she co-leads major research initiatives and contributes to scientific capacity building. Labs and Teams: She is part of CSIRO’s Digiscape and Agriculture and Food divisions, contributing to advanced digital agriculture research. Her work is embedded in collaborative international networks, particularly with the Chinese Academy of Sciences (CAS) and Stanford University, where she was a visiting scientist in 2019.

• Crop and Pasture Production
• Agronomy
• Crop Physiology
• +۵ مورد دیگر

Dr. Mariana Andreucci serves as a Senior Lecturer in the Department of Agricultural Sciences at Lincoln University, New Zealand, where she conducts research at the intersection of crop physiology, agronomy, and agricultural systems modeling. Her educational background includes a PhD from Lincoln University, an MSc from the University of Sao Paulo (Brazil), and a BAg from the University of Sao Paulo. Her research focuses on genotype-environment-management interactions to improve crop decision-making for farmers, with specialization in arable crops, grain/seed production, and mixed cropping systems. She develops crop and pasture models (tropical/temperate, perennial/annual) for yield diagnosis and gap closure. Andreucci actively supervises postgraduate research on wheat phenology, white clover spacing, and hemp development. Her publications reveal strong expertise in APSIM modeling, cereal development staging, tropical pasture systems, and forage brassica physiology. She contributes to UN Sustainable Development Goals Zero Hunger (SDG 2) and Life on Land (SDG 15) through agricultural productivity research. Her collaborative network spans international institutions with co-authorship on major agronomy journals. Current availability includes industry projects, master's/PhD supervision, collaborative research, and technical support in crop science.

• Soil Biogeochemistry
• Nitrogen Cycling in Agroecosystems
• Greenhouse Gas Emissions from Agricultural Soils
• +۴ مورد دیگر

Professor Grace Peter is a distinguished academic at the University of Queensland, School of Agriculture and Food Sciences, Department of Soil Science. With over two decades of research excellence, Professor Peter has established herself as a leading expert in soil biogeochemistry and agricultural sustainability in Australia. Professor Peter's research focuses on critical environmental challenges in agricultural systems, particularly nitrogen cycling, greenhouse gas emissions, and climate change mitigation. Her work spans both fundamental soil processes and applied agricultural solutions, with special emphasis on subtropical cropping systems including sugarcane, grains, and pasturelands. She has pioneered research on nitrous oxide emissions measurement, soil carbon sequestration potential, and nitrogen use efficiency in Australian agricultural contexts. Her interdisciplinary approach integrates field measurements, isotopic techniques, and biogeochemical modeling to develop practical solutions for sustainable agriculture. Analysis of Professor Peter's recent publication record reveals a strong focus on refining emission factors for agricultural systems, developing mitigation strategies for greenhouse gas emissions, and evaluating carbon credit systems for agriculture. Her work increasingly addresses policy-relevant questions about the practical implementation of climate mitigation in working agricultural lands, with particular attention to Australian contexts and the Great Barrier Reef protection efforts. The integration of field measurements with modeling approaches characterizes her methodological approach, ensuring scientific rigor while maintaining practical relevance for farmers and policymakers. Professor Peter has secured significant research funding and leads collaborative projects with national and international partners. Her leadership extends to major research networks including the Global Research Alliance on Agricultural Greenhouse Gases and the OzFlux network of ecosystem monitoring sites. Professor Peter maintains active research collaborations across Australia and internationally, with frequent co-authorship with researchers from Queensland University of Technology, CSIRO, and international institutions. Her laboratory and field research program continues to advance understanding of soil processes while developing practical solutions for sustainable agriculture in the face of climate change.

• Data Science
• STEM Education
• Agricultural Technology
• +۵ مورد دیگر

Yvette Everingham is a Professor in Data Science and Director of the Agriculture, Technology and Adoption Centre (AgTAC) at James Cook University (JCU). She holds additional roles such as former Associate Dean of Graduate Research Studies at JCU and Focus Area Chair for Weather and Climate Services for Agriculture at the World Meteorological Organization. Her research focuses on multi-model data fusion, STEM education strategies, and agtech solutions to enhance agricultural profitability and environmental sustainability under climate challenges. Yvette’s work integrates machine learning, remote sensing, and IoT technologies to address precision agriculture and climate resilience. She has pioneered tools like the i-RAT decision support system and the Hybrid Transformer Network for soil moisture estimation. Her contributions to sugarcane research include optimizing nitrogen management and improving irrigation practices, supported by seasonal climate forecasting. Awards: Office for Learning and Teaching Citation (2014) JCU Citation for Student Learning (2014) Sugar Research and Development Award (2008) Research & Grants: Over 50 publications span climate modeling, agricultural decision support systems, and wildlife tourism sustainability. She has advised students on projects involving smart irrigation systems and machine learning applications in agriculture.

Holger Meinkeمشاهده پروفایل

استاد

• Agricultural Systems Analysis
• Climate Change Adaptation
• Crop Physiology
• +۳ مورد دیگر

Professor Holger Meinke is the Head of the School of Land and Food and Director of the Tasmanian Institute of Agriculture (TIA) at the University of Tasmania. His expertise spans crop physiology, agricultural systems analysis, and climate research. He previously held the Chair of Crop and Weed Ecology at Wageningen University (2007–2011) and contributed to developing the APSIM agricultural simulation platform while at the Queensland Government. His research focuses on climate risk management, sustainable agriculture, and adaptation strategies for farming systems. Currently supervising 5 PhD candidates, he emphasizes science's societal relevance and interdisciplinary approaches. Education: Not explicitly stated in texts, but his career trajectory suggests advanced academic training in agricultural sciences. Grants/Funding: Mentioned as receiving funding from Australian Government bodies, TIA, Tasmanian Government, and University of Tasmania. His work involves collaborations with international organizations like CGIAR. Labs/Teams: Leads TIA and collaborates with the Tasmanian Government on climate adaptation projects, e.g., Climate Futures for Tasmania (CFT). His work integrates with organizations like CSIRO and international networks.

Song Cuiمشاهده پروفایل

استاد

• Digital Agriculture
• Organic Agriculture
• Soil Science
• +۴ مورد دیگر

Dr. Song Cui is a Professor of Digital Agriculture at Middle Tennessee State University's School of Agriculture. He holds a Ph.D. in Agriculture from Texas Tech University (2011) and a B.S. in Agronomy from Lanzhou University (2006). His research focuses on organic agriculture, digital agriculture technologies, small farming systems, and sustainable crop management. Key areas include soil health, precision farming, and agroecosystem modeling. Education: PhD in Agriculture, Texas Tech University, 2011 BS in Agronomy, Lanzhou University, 2006 Dr. Cui's work bridges agronomic practices and advanced technologies, with recent studies on transitioning to organic grain rotations, soil phosphorus dynamics in karst ecosystems, and the use of high-resolution satellite imagery for crop modeling. He investigates how conservation tillage and precision agriculture can enhance crop yields and resource efficiency in challenging environments like the Loess Plateau and semi-arid regions. His publications highlight interdisciplinary approaches to agricultural challenges, integrating machine learning for environmental flux predictions and exploring microbial diversity under different land-use patterns. Dr. Cui's research also emphasizes economic viability of organic transitions and the role of data-driven strategies in sustainable farming.

Keith Pembletonمشاهده پروفایل

استاد

• Agricultural Systems Modelling
• Crop Modelling
• Agronomy
• +۷ مورد دیگر

Professor Keith Pembleton is the Director of the Centre for Sustainable Agricultural Systems at the University of Southern Queensland (USQ), affiliated with the Institute for Life Sciences and the Environment. He holds a BAgSc(Hons) from the University of Queensland (2005) and a PhD from the University of Tasmania (2010). His career includes roles as Professor (2024–present), Associate Professor (2019–2023), and Senior Lecturer (2017–2019) at USQ, with prior experience as a Senior Research Fellow and Research Fellow. His research focuses on integrating computational tools like APSIM and AI into agricultural decision-making, addressing challenges in crop modeling, catchment systems, and climate adaptation. Research interests span agricultural systems modeling, crop and pasture agronomy, and climate resilience. He has led over 15 grants, including projects on sesame adoption in farming systems, soil constraint management, and drought resilience. Awards include the 2011 Minister for Agriculture award and Fulbright Scholarships. Professor Pembleton supervises doctoral and master's research on topics like farming systems modeling and ICT adoption. His 100+ publications include work on APSIM validation, tropical pasture growth, and machine learning applications in agriculture. He is a Fellow of the Higher Education Academy and active in professional organizations like the Australian Society of Agronomy.