Chaussalet, T. J., Mann, J. A., Perry, J. N. and Francos-Rodriguez, J. C. 2000. A nearest neighbour approach to the simulation of spread of barley yellow dwarf virus. Computers and Electronics in Agriculture. 28 (1), pp. 51-65. https://doi.org/10.1016/S0168-1699(00)00116-2
Tatchell, G. M. 1987. Agricultural viewdata services in Britain and the role of Rothamsted as an information provider. Computers and Electronics in Agriculture. 2, pp. 163-170.
Champion, R. A. and Matthews, L. R. 2007. An operant-conditioning technique for the automatic measurement of feeding motivation in cows. Computers and Electronics in Agriculture. 57 (2), pp. 115-122. https://doi.org/10.1016/j.compag.2007.02.008
Byun, H. G., Persaud, K. C., Khaffaf, S. M., Hobbs, P. J. and Misselbrook, T. H. 1997. Application of unsupervised clustering methods to the assessment of malodour in agriculture using an array of conducting polymer odour sensors. Computers and Electronics in Agriculture. 17, pp. 233-247. https://doi.org/10.1016/S0168-1699(96)01307-5
Muhammed, S. E., Marchant, B. P., Webster, R., Whitmore, A. P., Dailey, A. G. and Milne, A. E. 2017. Assessing sampling designs for determining fertilizer practice from yield data. Computers and Electronics in Agriculture. 135 (1 April), pp. 163-174. https://doi.org/10.1016/j.compag.2017.02.002
Moshou, D., Bravo, C., West, J. S., Wahlen, S., McCartney, H. A. and Ramon, H. 2004. Automatic detection of 'yellow rust' in wheat using reflectance measurements and neural networks. Computers and Electronics in Agriculture. 44, pp. 173-188. https://doi.org/10.1016/j.compag.2004.04.003
Bayat, H., Neyshaburi, M. R., Mohammadi, K., Nariman-Zadeh, N., Irannejad, M. and Gregory, A. S. 2013. Combination of artificial neural networks and fractal theory to predict soil water retention curve. Computers and Electronics in Agriculture. 92, pp. 92-103. https://doi.org/10.1016/j.compag.2013.01.005
Holden, N. M., Dowd, J. F., Williams, A. J. and Scholefield, D. 1995. Computer control for investigating water and chemical transport in a large isolated soil block. Computers and Electronics in Agriculture. 12 (3), pp. 225-236.
Bartlet, E., Thomas, C., Carter, N. and Hipgrave, J. 1990. Computerized database management for a cereal aphid-monitoring scheme. Computers and Electronics in Agriculture. 4, pp. 245-253. https://doi.org/10.1016/0168-1699(90)90023-I
Hassall, K. L., Baudron, F., MacLaren, C., Cairns, J. E., Ndhlela, T., McGrath, S. P., Nyagumbo, I. and Haefele, S. M. 2023. Construction of a generalised farm typology to aid selection, targeting and scaling of on farm research. Computers and Electronics in Agriculture. 212, p. 108074. https://doi.org/10.1016/j.compag.2023.108074
Whitmore, A. P. 2007. Describing the transformation of organic carbon and nitrogen in soil using the MOTOR system. Computers and Electronics in Agriculture. 55, pp. 71-88. https://doi.org/10.1016/j.compag.2006.11.005
Riley, J. R. and Smith, A. D. 2002. Design considerations for an harmonic radar to investigate the flight of insects at low altitude. Computers and Electronics in Agriculture. 35, pp. 151-169.
Chapman, J. W., Smith, A. D., Woiwod, I. P., Reynolds, D. R. and Riley, J. R. 2002. Development of vertical-looking radar technology for monitoring insect migration. Computers and Electronics in Agriculture. 35, pp. 95-110.
Riley, J. R. and Drake, V. A. 2002. Editorial: technologies for insect movement and migration research. Computers and Electronics in Agriculture. 35 (2-3), pp. 57-62. https://doi.org/10.1016/S0168-1699(02)00011-X
Rastgou, M., Bayat, H., Mansoorizadeh, M. and Gregory, A. S. 2020. Estimating the soil water retention curve - comparison of multiple nonlinear regression approach and random forest data mining technique. Computers and Electronics in Agriculture. 174, p. 105502. https://doi.org/10.1016/j.compag.2020.105502
Franko, U., Schramm, G., Rodionova, V., Korschens, M., Smith, P., Coleman, K., Romanenkov, V. and Shevtsova, L. 2002. EuroSOMNET - a database for long-term experiments on soil organic matter in Europe. Computers and Electronics in Agriculture. 33, pp. 233-239.
Yeluripati, J. B., Del Prado, A., Sanz-Cobena, A., Rees, R. M., Li, C., Chadwick, D., Tilston, E., Topp, C. F. E., Cardenas, L. M., Ingraham, P., Gilhespy, S. L., Anthony, S., Vetter, S. H., Misselbrook, T. H., Salas, W. and Smith, P. 2015. Global Research Alliance Modelling Platform (GRAMP): an open web platform for modelling greenhouse gas emissions from agro-ecosystems. Computers and Electronics in Agriculture. 111 (February), pp. 112-120. https://doi.org/10.1016/j.compag.2014.11.016
Stafford, J. V., Ambler, B., Lark, R. M. and Catt, J. A. 1996. Mapping and interpreting the yield variation in cereal crops. Computers and Electronics in Agriculture. 14 (2/3), pp. 101-119. https://doi.org/10.1016/0168-1699(95)00042-9
Thorp, K. R., Gore, M. A., Andrade-Sanchez, P., Carmo-Silva, A. E., Welch, S. M., White, J. W. and French, A. N. 2015. Proximal hyperspectral sensing and data analysis approaches for field-based plant phenomics. Computers and Electronics in Agriculture. 118, pp. 225-236. https://doi.org/10.1016/j.compag.2015.09.005
Reynolds, D. R. and Riley, J. R. 2002. Remote-sensing, telemetric and computer-based technologies for investigating insect movement: a survey of existing and potential techniques. Computers and Electronics in Agriculture. 35, pp. 271-307.
North, P. F. 1987. Retrieval of data stored in a neutron moisture meter using a portable microcomputer. Computers and Electronics in Agriculture. 2 (2), pp. 135-143. https://doi.org/10.1016/0168-1699(87)90024-X
Sharp, R. T., Henrys, P. A., Jarvis, S. G., Whitmore, A. P., Milne, A. E., Coleman, K., Mohankumar, S. E. P. and Metcalfe, H. 2021. Simulating cropping sequences using earth observation data. Computers and Electronics in Agriculture. 188, p. 106330. https://doi.org/10.1016/j.compag.2021.106330
Perry, J. N., Parker, W. E., Alderson, L. J., Korie, S., Blood-Smyth, J. A., Mckinlay, R. and Ellis, S. A. 1998. Simulation of counts of aphids over two hectares of Brussels sprout plants. Computers and Electronics in Agriculture. 21 (1), pp. 33-51. https://doi.org/10.1016/S0168-1699(98)00026-X
Milne, A. E., Webster, R., Ginsburg, D. and Kindred, D. 2012. Spatial multivariate classification of an arable field into compact management zones based on past crop yields. Computers and Electronics in Agriculture. 80, pp. 17-30. https://doi.org/10.1016/j.compag.2011.10.007
Payne, R. W., Potts, J. M. and Verrier, P. J. 1997. The description of experimental designs in information systems. Computers and Electronics in Agriculture. 19 (1), pp. 69-86. https://doi.org/10.1016/S0168-1699(97)00036-7
Rutter, S. M., Beresford, N. A. and Roberts, G. 1997. Use of GPS to identify the grazing areas of hill sheep. Computers and Electronics in Agriculture. 17, pp. 177-188.
Parsons, D. J., Benjamin, L. R., Clarke, J., Ginsburg, D., Mayes, A., Milne, A. E. and Wilkinson, D. J. 2009. Weed Manager - a model-based decision support system for weed management in arable crops. Computers and Electronics in Agriculture. 65, pp. 155-167. https://doi.org/10.1016/j.compag.2008.08.007