Skip to main content
    • Aa
    • Aa

Agronōmics: transforming crop science through digital technologies

  • R. Sylvester-Bradley (a1), D. R. Kindred (a1), B. Marchant (a2), S. Rudolph (a2), S. Roques (a1), A. Calatayud (a3), S. Clarke (a4) and V. Gillingham (a5)...

Good progress in crop husbandry and science requires that impacts of field-scale interventions can be measured, analysed and interpreted easily and with confidence. The term ‘agronōmics’ describes the arena for research created by field-scale digital technologies where these technologies can enable effective commercially relevant experimentation. Ongoing trials with ‘precision-farm research networks’, along with new statistical methods (and associated software), show that robust conclusions can be drawn from digital field-scale comparisons, but they also show significant scope for improvement in the validity, accuracy and precision of digital measurements, especially those determining crop yields.

Corresponding author
Hide All
AgGateway 2017. ADAPT. (Retrieved 4/1/17).
BloomTM 1985. Bias in the measurement of crop performance. Aspects of applied Biology 10, Field trials methods and data handling 241258.
CarlsonTN and RipleyDA 1997. On the relation between NDVI, fractional vegetation cover, and Leaf Area Index. Remote Sensing and Environment 62, 241252.
DeereJohn 2016. Telematics. (Retrieved 4/1/17).
FisherRA and WishartJ 1930. The arrangement of field experiments and the statistical reduction of the results. Imperial Bureau of Soil Science, Tech. Comm 10, 123.
GriffinTW, DobbinsCL, VynTJ, FloraxRJGM and Lowenberg-DeboerJM 2008. Spatial analysis of yield monitor data: Case studies of on-farm trials and farm management decision making. Precision Agriculture 9 (5), 269.
HicksD, Vanden HeuvelR and ForeZ 1997. Analysis and Practical Use of Information from On-Farm Strip Trials. Better Crops 81, 1821.
HoylesD and LamymanT 2015. Yield Enhancement Network Videos. (Retrieved 11/12/16).
KindredD and Sylvester-BradleyR 2014. Using Precision Farming technologies to improve nitrogen management and empower on-farm learning. Aspects of Applied Biology 127, Precision Decisions for Profitable Cropping 173180.
KindredD, Sylvester-BradleyR, ClarkeS, RoquesS, SmillieI and BerryP 2016a. Agronōmics – an arena for synergy between the science and practice of crop production. Paper presented at the 12th European IFSA Symposium at Harper Adams University. Pp. 12.
KindredDR, HatleyD, GinsburgD, CatalayudA, StorerK, WilsonL, HockridgeB, MilneA, MarchantB, MillerP and Sylvester-BradleyR 2016b. Automating fertiliser N for cereals (Auto-N). AHDB Report 561. Pp. 196.
LarkRM, StaffordJV and BolamHC 1997. Limitations on the spatial resolution of yield mapping for combinable crops. Journal of Agricultural Engineering Research 66, 183193.
LawesRA and BramleyRGV 2012. A simple method for the analysis of on-farm strip trials. Agronomy Journal 104 (2), 371.
LewisT 2014. How computer analysts took over at Britain’s top football clubs. The Observer, 9 March 2014.
LittleTM and HillsFJ 1978. Agricultural Experimentation: Design and Analysis. John Wiley & Sons Ltd, West Sussex, England.
MacMillanT and BentonTG 2014. Engage farmers in research. Nature 509 (7498), 2527.
QiA, OberES and JaggardKW 2012. Benchmarking sugar beet yields and the growers’ performance. British Sugar Beet Review 80, 36.
RossKW, MorrisDK and JohannsenCJ 2008. A review of intra-field yield estimation from yield monitor data. Applied Engineering in Agriculture 24 (3), 309.
RudolphS, MarchantPB, GillinghamV, KindredD and Sylvester-BradleyR 2016. Spatial Discontinuity Analysis’ a novel geostatistical algorithm for on-farm experimentation. In Proceedings of the 13th International Conference on Precision Agriculture Monticello, IL: USA International Society of Precision Agriculture.
StreetD 1990. Fisher’s contributions to agricultural statistics. Biometrics 46, 967–945.
Sylvester-BradleyR 1991. Modelling and mechanisms for the development of agriculture. Aspects of Applied Biology 26, The Art and Craft of Modelling in Applied Biology 5567.
Sylvester-BradleyR, SemenovMA, LawlessC, JaggardK and QiA 2005. Assessing predictive skill of models to optimise crop management and design. Final Report of Defra Project AR0909. Pp. 23.
Sylvester-BradleyR and KindredD 2014. The Yield Enhancement Network: Philosophy and results from the first season. Aspects of Applied Biology 125, Agronomic Decision Making in an Uncertain Climate 125, 5362.
Sylvester-BradleyR, KindredD, SmillieI and BerryPM 2016. Enhancement of European crop yields without agronomic ‘intensification’. Proceedings of the European Society of Agronomy 14th Congress, Edinburgh, 5–9 September 2016.
The University of Reading 2000. Concepts Underlying the Design of Experiments. Statistical Services Centre.
WhelanB, TaylorJ and McBratneyA 2012. A ‘small strip’ approach to empirically determining management class yield response functions and calculating the potential financial ‘net wastage’ associated with whole-field uniform-rate fertiliser application. Field Crops Research 139, 4756.
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Advances in Animal Biosciences
  • ISSN: 2040-4700
  • EISSN: 2040-4719
  • URL: /core/journals/advances-in-animal-biosciences
Please enter your name
Please enter a valid email address
Who would you like to send this to? *



Full text views

Total number of HTML views: 1
Total number of PDF views: 39 *
Loading metrics...

Abstract views

Total abstract views: 50 *
Loading metrics...

* Views captured on Cambridge Core between 1st June 2017 - 19th October 2017. This data will be updated every 24 hours.