Abstract

Precision agriculture is a farming management concept based on observing, measuring and responding to inter- and intra-field variability in crops. In this paper, we focus on responding to intra-field variability in potato crops and analyse variable rate applications (VRAs). We made an overview of potential VRAs in potato crop management in The Netherlands. We identified 13 potential VRAs in potato, ranging from soil tillage to planting to crop care to selective harvest. We ranked them on availability of ‘proof of concept’ and on-farm test results. For five VRAs, we found test results allowing to make a cost-benefit assessment. These five VRAs were as follows: planting, soil herbicide weed control, N side dress, late blight control and haulm killing. They use one of two types of spatial data: soil maps or biomass index maps. Data on costs and savings of the VRAs showed that the investments in VRAs will pay off under practical conditions in The Netherlands. Savings on pesticide use and N-fertilizer use with the VRAs were on average about 25%, which benefits the environment too. We foresee a slow but gradual adoption of VRAs in potato production. More VRAs will become available given ongoing R&D. The perspectives of VRAs in potatoes are discussed.

Highlights

  • Precision agriculture or precision farming (PF) can be defined as doing the right thing, in the right place, at the right time, in the right way (Blackmore et al 2005)

  • We focus on reacting Precision agriculture technology (PAT): variable rate application (VRA)

  • Details on individuals VRA are given

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Summary

Introduction

Precision agriculture or precision farming (PF) can be defined as doing the right thing, in the right place, at the right time, in the right way (Blackmore et al 2005). We carried out a desk study in 2017 to identify possible VRAs in potatoes, to summarize on-farm experimental data with mature VRAs and to do a cost-benefit analysis (CBA). Malda and Specken (2011) published a first study on variable rate seeding of potatoes based on soil maps.

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