Dr Ben Ingram

Research Fellow in Modelling Metal Contamination of Rice Supplies in Asia

Cranfield Soil and Agrifood Institute

Contact Dr Ben Ingram

Areas of expertise

Background

Ben Ingram received a B.Eng. 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

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.

Articles In Journals

Conference Papers

Kerry R, Ortiz B, Ingram B, Scully B & Yoo E (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. In: 12th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2016, Montpellier, 5-8 July 2016.
Verdugo-Vasquez N, Acevedo-Opazo C, Valdes-Gomez H, Ingram B, De Cortazar I & Tisseyre B (2015) Temporal stability of within-field variability for total soluble solids in four irrigated grapevines cultivars growing under semi-arid conditions. In: 10th European conference on precision agriculture (ECPA 2015), Rishon LeZion, 12-16 July 2015.
Verdugo-Vásquez N, Acevedo-Opazo C, Valdés-Gómez H, Ingram B, De Cortazar, IG & Tisseyre B (2015) Temporal stability of within-field variability for total soluble solids in four irrigated grapevines cultivars growing under semi-arid conditions. In: 10th European Conference on Precision Agriculture (ECPA 2015), Rishon LeZion, 12-16 July 2015.
Williams M, Bastin L, Cornford D & Ingram B (2008) Describing and communicating uncertainty within the Semantic web. In: 4th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2008), Karlsruhe, 26 October 2008.

Books

Kerry R, Ingram B, Garcia-Cela E & Magan N (2019) Spatial analysis of mycotoxins in stored grain to develop more precise management strategies. In: Precision agriculture’19, Wageningen Academic Publishers, p. 721-727.
Ingram B & Cornford D (2010) Parallel geostatistics for sparse and dense datasets. In: geoENV VII – Geostatistics for Environmental Applications, Springer, p. 371-382.
Williams M, Cornford D, Bastin L & Ingram B (2010) Exchanging uncertainty: Interoperable geostatistics?. In: geoENV VII – Geostatistics for Environmental Applications, Springer, p. 321-332.
Ingram B, Cornford D & Csató L (2010) Robust automatic mapping algorithms in a network monitoring scenario. In: geoENV VII – Geostatistics for Environmental Applications, Springer, p. 359-370.
Kerry R, Ingram B, Goovaerts P & Oliver MA (2008) How many samples are required to estimate a reliable REML variogram?. In: Geostats 2008: 8th International Geostatistics Congress, Gecamin, p. 1155-1160.
Ingram B, Cornford D & Csato L (2008) A projected process kriging algorithm for sensor networks with heterogeneous error characteristics. In: Geostats 2008: 8th International Geostatistics Congress, Gecamin.