Contact Dr Ben Ingram
- Email: Ben.Ingram@cranfield.ac.uk
- ORCID
Areas of expertise
- Applied Informatics
- Computing, Simulation & Modelling
- Digital Agriculture
- Food Safety
- Monitoring and Environmental Informatics
Background
Ben Ingram received a BEng in Electronic Engineering and Computer Science (2003) and a Ph.D. in Neural Computing (2008) from Aston University, Birmingham where he worked under the supervision of David Evans and Dan Cornford on techniques for applying Geostatistics to big data. After his Ph.D., he continued to work with Dan Cornford and worked as a Post-doc on a European FP7 project - Intamap. In 2009 he was appointed as an Assistant Professor in the Computer Science department of Universidad de Talca, Chile where he worked for 8 years, including 3 years as Head of Department. In 2017 he moved back to the UK where he took up a research position at Cranfield University in the Soil and Agrifood Institute working with Guy Kirk and Ron Corstanje.
Current activities
Ben's current work includes developing generic methods for assessing the extent that Asian rice supplies are contaminated with toxic metals, particularly arsenic and cadmium and to assess the potential of technologies to mitigate risks based on agronomic management and rice genotype differences.
Publications
Articles In Journals
- Angles R, Arenas-Salinas M, García R & Ingram B. (2024). An optimized relational database for querying structural patterns in proteins. Database, 2024
- Kerry R, Ingram B, Oliver M & Frogbrook Z. (2024). Soil sampling and sensed ancillary data requirements for soil mapping in precision agriculture II: contour mapping of soil properties with sensed z-score data for comparison with management zone averages. Precision Agriculture, 25(3)
- Kerry R, Ingram B, Oliver M & Frogbrook Z. (2024). Soil sampling and sensed ancillary data requirements for soil mapping in precision agriculture I. delineation of management zones to determine zone averages of soil properties. Precision Agriculture, 25(3)
- Kerry R, Ingram B, Sanders K, Henrie A, Hammond K, .... (2024). Precision Turfgrass Irrigation: Capturing Spatial Soil Moisture Patterns with ECa and Drone Data. Agronomy, 14(6)
- Pizarro R, Borcoski F, Ingram B, Bustamante-Ortega R, Sangüesa C, .... (2024). Increases in the Amounts of Agricultural Surfaces and Their Impact on the Sustainability of Groundwater Resources in North-Central Chile. Sustainability, 16(17)
- Kerry R, Ingram B & Golden CS. (2024). Comparing Current and Future Land Suitability for Growing Rainfed Corn (Zea mays) in Georgia, USA. Plants, 13(17)
- Lee LY, Kerry R, Ingram B, Golden CS & LeMonte JJ. (2024). Investigating the Spatial Patterns of Heavy Metals in Topsoil and Asthma in the Western Salt Lake Valley, Utah. Environments, 11(10)
- Kerry R, Ingram B, Abbas HK & Ahlborn G. (2024). An Investigation of the Spatial Arrangement of Mycotoxin Build-Up in Corn Stored Under Different Environmental Conditions. Toxins, 16(12)
- Sangüesa C, Pizarro R, Ingram B, Ibáñez A, Rivera D, .... (2023). Comparing Methods for the Regionalization of Intensity−Duration−Frequency (IDF) Curve Parameters in Sparsely-Gauged and Ungauged Areas of Central Chile. Hydrology, 10(9)
- Sangüesa C, Pizarro R, Ingram B, Balocchi F, García-Chevesich P, .... (2023). Streamflow Trends in Central Chile. Hydrology, 10(7)
- Kerry R, Ingram B, Hammond K, Shumate SR, Gunther D, .... (2023). Spatial Analysis of Soil Moisture and Turfgrass Health to Determine Zones for Spatially Variable Irrigation Management. Agronomy, 13(5)
- He F, Mohamadzadeh N, Sadeghnejad M, Ingram B & Ostovari Y. (2023). Fractal Features of Soil Particles as an Index of Land Degradation under Different Land-Use Patterns and Slope-Aspects. Land, 12(3)
- Pizarro R, García-Chevesich P, Ingram B, Sangüesa C, Pino J, .... (2023). Establishment of Monterrey Pine (Pinus radiata) Plantations and Their Effects on Seasonal Sediment Yield in Central Chile. Sustainability, 15(7)
- Tahmoures M, Mesri S, Afrasiabi B, Honarbakhsh A & Ingram B. (2023). Soil carbon prediction under different land uses by integration of remote sensing and machine learning algorithms in a semi-arid watershed, Iran. Arabian Journal of Geosciences, 16(1)
- Kerry R, Ingram B, Orellana M, Ortiz BV & Scully B. (2023). Development of a method to assess the risk of aflatoxin contamination of corn within counties in southern Georgia, USA using remotely sensed data. Smart Agricultural Technology, 3
- Tahmoures M, Honarbakhsh A, Afzali SF, Abotaleb M, Ingram B, .... (2022). Fractal Features of Soil Particles as an Indicator of Land Degradation under Different Types of Land Use at the Watershed Scale in Southern Iran. Land, 11(11)
- Kerry R, Ingram B, Ortiz BV & Salvacion A. (2022). Using Soil, Plant, Topographic and Remotely Sensed Data to Determine the Best Method for Defining Aflatoxin Contamination Risk Zones within Fields for Precision Management. Agronomy, 12(10)
- Pizarro R, García-Chevesich P, Balocchi F, Pino J, Ibáñez A, .... (2022). Comparative analysis of annual and monthly peak flow tendencies, considering two periods in north-central Chile. Tecnología y ciencias del agua, 13(5)
- Khajehzadeh M, Afzali SF, Honarbakhsh A & Ingram B. (2022). Remote sensing and GIS-based modeling for predicting soil salinity at the watershed scale in a semi-arid region of southern Iran. Arabian Journal of Geosciences, 15(5)
- Verdugo-Vásquez N, Acevedo-Opazo C, Valdés-Gómez H, Pañitrur-De la Fuente C, Ingram B, .... (2022). Identification of main factors affecting the within-field spatial variability of grapevine phenology and total soluble solids accumulation: towards the vineyard zoning using auxiliary information. Precision Agriculture, 23(1)
- McCloskey CS, Otten W, Paterson E, Ingram B & Kirk GJD. (2021). A field system for measuring plant and soil carbon fluxes using stable isotope methods. European Journal of Soil Science, 72(6)
- Kerry R, Ingram B, Garcia-Cela E, Magan N, Ortiz BV, .... (2021). Determining future aflatoxin contamination risk scenarios for corn in Southern Georgia, USA using spatio-temporal modelling and future climate simulations. Scientific Reports, 11(1)
- Kerry R, Ingram BR, Garcia-Cela E & Magan N. (2021). Investigation of the potential to reduce waste through sampling and spatial analysis of grain bulks. Biosystems Engineering, 207
- Pizarro-Tapia R, González-Leiva F, Valdés-Pineda R, Ingram B, Sangüesa C, .... (2020). A Rainfall Intensity Data Rescue Initiative for Central Chile Utilizing a Pluviograph Strip Charts Reader (PSCR). Water, 12(7)
- Vowles M, Kerry R, Ingram B & Mason L. (2020). Investigation of the Environmental and Socio-Economic Characteristics of Counties with a High Asthma Burden to Focus Asthma Action in Utah. International Journal of Environmental Research and Public Health, 17(14)
- Pizarro R, García‐Chevesich P, Pino J, Ibáñez A, Pérez F, .... (2020). Stabilization of stage–discharge curves following the establishment of forest plantations: Implications for sediment production. River Research and Applications, 36(9)
- Kerry R, Goovaerts P, Ingram B & Tereault C. (2020). Spatial Analysis of Lung Cancer Mortality in the American West to Improve Allocation of Medical Resources. Applied Spatial Analysis and Policy, 13(4)
- Ponce-Donoso M, Vallejos-Barra O, Ingram B & Daniluk-Mosquera G. (2020). Urban Trees and Environmental Variables: Relationships in a City of Central Chile. Arboriculture & Urban Forestry, 46(2)
- Verdugo-Vásquez N, Acevedo-Opazo C, Valdés-Gómez H, Ingram B, García de Cortázar-Atauri I, .... (2020). Towards an empirical model to estimate the spatial variability of grapevine phenology at the within field scale. Precision Agriculture, 21(1)
- Ostovari Y, Honarbakhsh A, Sangoony H, Zolfaghari F, Maleki K, .... (2019). GIS and multi-criteria decision-making analysis assessment of land suitability for rapeseed farming in calcareous soils of semi-arid regions. Ecological Indicators, 103
- Honarbakhsh A, Tahmoures M, Tashayo B, Mousazadeh M, Ingram B, .... (2019). GIS-based assessment of groundwater quality for drinking purpose in northern part of Fars province, Marvdasht. Journal of Water Supply: Research and Technology-Aqua, 68(3)
- Kerry R, Yoo E & Ingram B. (2019). Spatial analysis of drug poisoning deaths in the American west: A comparison study using profile regression to adjust for collinearity and spatial correlation. Drug and Alcohol Dependence, 204
- Pizarro R, Ingram B, Gonzalez-Leiva F, Valdés-Pineda R, Sangüesa C, .... (2018). WEBSEIDF: A Web-Based System for the Estimation of IDF Curves in Central Chile. Hydrology, 5(3)
- Sangüesa C, Pizarro R, Ibañez A, Pino J, Rivera D, .... (2018). Spatial and Temporal Analysis of Rainfall Concentration Using the Gini Index and PCI. Water, 10(2)
- Verdugo-Vásquez N, Acevedo-Opazo C, Valdés-Gómez H, Ingram B, García de Cortázar-Atauri I, .... (2018). Temporal stability of within-field variability of total soluble solids of grapevine under semi-arid conditions: a first step towards a spatial model. OENO One, 52(1)
- Kerry R, Ortiz BV, Ingram BR & Scully BT. (2017). A Spatio–Temporal investigation of risk factors for aflatoxin contamination of corn in southern Georgia, USA using geostatistical methods. Crop Protection, 94
- Hughes K, Fosgate GT, Budke CM, Ward MP, Kerry R, .... (2017). Modeling the spatial distribution of African buffalo (Syncerus caffer) in the Kruger National Park, South Africa. PLOS ONE, 12(9)
- Poblete-Echeverría C, Olmedo G, Ingram B & Bardeen M. (2017). Detection and Segmentation of Vine Canopy in Ultra-High Spatial Resolution RGB Imagery Obtained from Unmanned Aerial Vehicle (UAV): A Case Study in a Commercial Vineyard. Remote Sensing, 9(3)
- Navarro F, Ingram B, Kerry R, Ortiz BV & Scully BT. (2017). A Web-based GIS Decision Support Tool for Determining Corn Aflatoxin Risk: A Case Study Data from Southern Georgia, USA. Advances in Animal Biosciences, 8(2)
- Kerry R, Ingram BR, Navarro F, Ortiz BV & Scully BT. (2017). Determining Corn Aflatoxin Risk within Counties in Southern Georgia, USA using Remotely Sensed Data. Advances in Animal Biosciences, 8(2)
- Kerry R, Goovaerts P, Vowles M & Ingram B. (2016). Spatial analysis of drug poisoning deaths in the American West, particularly Utah. International Journal of Drug Policy, 33
- Verdugo-Vásquez N, Acevedo-Opazo C, Valdés-Gómez H, Araya-Alman M, Ingram B, .... (2016). Spatial variability of phenology in two irrigated grapevine cultivar growing under semi-arid conditions. Precision Agriculture, 17(2)
- Sepúlveda-Reyes D, Ingram B, Bardeen M, Zúñiga M, Ortega-Farías S, .... (2016). Selecting Canopy Zones and Thresholding Approaches to Assess Grapevine Water Status by Using Aerial and Ground-Based Thermal Imaging. Remote Sensing, 8(10)
- 555609 - Citation not available
- Kerry R, Goovaerts P, Smit IPJ & Ingram BR. (2013). A comparison of multiple indicator kriging and area-to-point Poisson kriging for mapping patterns of herbivore species abundance in Kruger National Park, South Africa. International Journal of Geographical Information Science, 27(1)
- Barillec R, Ingram B, Cornford D & Csató L. (2011). Projected sequential Gaussian processes: A C++ tool for interpolation of large datasets with heterogeneous noise. Computers & Geosciences, 37(3)
- Ingram B, Cornford D & Evans D. (2008). Fast algorithms for automatic mapping with space-limited covariance functions. Stochastic Environmental Research and Risk Assessment, 22(5)
- Ingram B, Csato L & Evans D. (2005). Fast Spatial Interpolation using Sparse Gaussian Processes. Applied GIS, 1(2)
- AbouAish YM, Anderson JT, Dietz C, Ingram BJ & Pope AR. (2000). Dealing with diversity. JOURNAL AMERICAN WATER WORKS ASSOCIATION, 92(11)
- Pizarro R, García-Chevesich P, Balocchi F, Pino J, Ibáñez A, .... Comparative analysis of annual and monthly peakflow tendencies, considering two periods in north-central Chile. Tecnología y ciencias del agua
- Baettig R, Ingram B & Cabeza RA. Exploiting commercial micro X-ray fluorescence systems for stereoscopic soft X-ray imaging. Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics
Conference Papers
- Kerry R, Ingram B, Henrie A, Sanders K, Hammond K, .... (2023). 33. Assessing the ability of ECa and drone data to capture spatial patterns in soil moisture for more precise turfgrass irrigation
- Kerry R, Ingram B & Oliver M. (2021). 78. Sampling needs to establish effective management zones for plant nutrients in precision agriculture
- Kerry R, Ingram B, Garcia-Cela E & Magan N. (2019). Spatial analysis of mycotoxins in stored grain to develop more precise management strategies
- Yoo E, Kerry R, Ingram B, Ortiz B & Scully B. (2018). Defining and characterizing Aflatoxin contamination risk areas for corn in Georgia, USA: Adjusting for collinearity and spatial correlation
- Kerry R, Ortiz B, Ingram B, Scully B & Yoo EH. (2016). Irregularly sampled data in space and time: Using poisson kriging to reduce the influence of uncertain observations in assessing the risk of aflatoxin contamination of corn in Southern Georgia, USA
- Verdugo-Vásquez N, Acevedo-Opazo C, Valdés-Gómez H, Ingram B, García de Cortázar I, .... (2015). Temporal stability of within-field variability for total soluble solids in four irrigated grapevines cultivars growing under semi-arid conditions
- Ingram B & Cornford D. (2010). Parallel Geostatistics for Sparse and Dense Datasets
- Ingram B, Cornford D & Csató L. (2010). Robust Automatic Mapping Algorithms in a Network Monitoring Scenario
- Williams M, Cornford D, Bastin L & Ingram B. (2010). Exchanging Uncertainty: Interoperable Geostatistics?
- Williams M, Bastin L, Cornford D & Ingram B. (2008). Describing and communicating uncertainty within the Semantic web
- Kidner NJ, Ingram BJ, Homrighaus ZJ, Mason TO & Garboczi EJ. (2002). Impedance/Dielectric Spectroscopy of Electroceramics in the Nanograin Regime