A5071249569- Smart Agriculture and AI
- Soil Carbon and Nitrogen Dynamics
- Soil Geostatistics and Mapping
- Soil erosion and sediment transport
- Evolutionary Algorithms and Applications
- Sustainable Agricultural Systems Analysis
- Peatlands and Wetlands Ecology
- Soil and Unsaturated Flow
- Mineral Processing and Grinding
- Agronomic Practices and Intercropping Systems
- Geophysical and Geoelectrical Methods
- Flood Risk Assessment and Management
- Coastal wetland ecosystem dynamics
- Doctoral Education Challenges and Solutions
- Image Processing and 3D Reconstruction
- Climate change and permafrost
- Climate change impacts on agriculture
- Higher Education Practises and Engagement
- Plant Pathogens and Fungal Diseases
- Groundwater flow and contamination studies
- Plant-Microbe Interactions and Immunity
- Geophysical Methods and Applications
- Mycorrhizal Fungi and Plant Interactions
- Higher Education and Employability
- Advanced Multi-Objective Optimization Algorithms
University of Lincoln
2018-2024
Lancaster University
2016
Abstract Plant diversity loss impairs ecosystem functioning, including important effects on soil. Most studies that have explored plant belowground, however, largely focused biological processes. As such, our understanding of how impacts the soil physical environment remains limited, despite fundamental role structure plays in ensuring function and service provision. Here, both a glasshouse long‐term field study, we show high grassland systems increases aggregate stability, vital structural...
Abstract Purpose of Review The paper discusses how robotics and autonomous systems (RAS) are being deployed to decarbonise agricultural production. climate emergency cannot be ameliorated without dramatic reductions in greenhouse gas emissions across the agri-food sector. This review outlines transformational role for system considers where research focus might prioritised. Recent Findings Agri-robotic provide multiple emerging opportunities that facilitate transition towards net zero...
Abstract Under future climate predictions, the incidence of coastal flooding is set to rise. Many regions at risk, such as those surrounding North Sea, comprise large areas low‐lying and productive agricultural land. Flood risk assessments typically emphasise economic consequences on urban national infrastructure. Impacts land have seen less attention, considerations tend omit long‐term effects soil salinity. The aim this study develop a universal framework evaluate impact agriculture. We...
This letter presents an automated method for creating spatial maps of soil condition with outdoor mobile robot. Effective mapping on farms can enhance yields, reduce inputs, and help protect the environment. Traditionally, data are collected manually at arbitrary set locations, then constructed offline using kriging, a form Gaussian process regression. is laborious costly, limiting quality resolution resulting information. Instead, we propose to use robot automatic collection data, building...
Abstract The Fens is a region that contributes 11% of the agri-food economy from just 4% agricultural land covering England (UK). This vulnerable to soil salinisation sea-level rise with estimated 100-year flood events projected be observed up every 2 years by 2100. Seawater intrusion and upwelling saline groundwater can provide an additional pathway; however, area’s has not been assessed risk unknown. study used data British Geological Survey’s stratigraphic core archive produce first map...
Agri-Food is the largest manufacturing sector in UK. It supports a food chain that generates over {\pounds}108bn p.a., with 3.9m employees truly international industry and exports {\pounds}20bn of UK manufactured goods. However, global under pressure from population growth, climate change, political pressures affecting migration, drift rural to urban regions demographics an aging population. These challenges are recognised Industrial Strategy white paper backed by significant investment via...
This paper presents an automated method for creating spatial maps of soil condition with outdoor mobile robot. Effective mapping on farms can enhance yields, reduce inputs and help protect the environment. Traditionally, data are collected manually at arbitrary set locations, then constructed offline using Kriging, a form Gaussian process regression. is laborious costly, limiting quality resolution resulting information. Instead, we propose to use robot automatic collection data, building...