Combining crop modelling and remote sensing to create yield maps for management zone delineation in small scale farming systems

H. Zha, D. Cammarano, L. Wilson, Y. Li, W. D. Batchelor, Y. Miao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The objective of this study was to develop a management zone delineation strategy using reconstruction of yield maps with crop modelling and remote sensing data. Wangzhuang Village in Quzhou County (China), with an average farm size of 0.3 to 0.5 ha, was selected for this study. Satellite images, detailed soil nutrient samples from fields in the village and satellite-derived soil brightness images were available. Their integration allowed for the delineation of management zones at the village level.

Original languageEnglish (US)
Title of host publicationPrecision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019
EditorsJohn V. Stafford
PublisherWageningen Academic Publishers
Pages883-889
Number of pages7
ISBN (Electronic)9789086863372
DOIs
StatePublished - Jan 1 2019
Event12th European Conference on Precision Agriculture, ECPA 2019 - Montpellier, France
Duration: Jul 8 2019Jul 11 2019

Publication series

NamePrecision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019

Conference

Conference12th European Conference on Precision Agriculture, ECPA 2019
CountryFrance
CityMontpellier
Period7/8/197/11/19

Keywords

  • Crop model
  • Fertilization
  • Management zones
  • Remote sensing

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