An evaluation framework to build a cost-efficient crop monitoring system. Experiences from the extension of the European crop monitoring system - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles Agricultural Systems Year : 2019

An evaluation framework to build a cost-efficient crop monitoring system. Experiences from the extension of the European crop monitoring system

Abstract

This paper presents an evaluation framework followed to identify cost-efficient alternatives to extend the MARS Crop Yield Forecasting System (MCYFS), run by the European Commission Joint Research Centre since 1992, to other main producing areas of the world: Eastern European Neighbourhood, Asia, Australia, South America and North America. These new systems would follow the principles and components of the MCYFS Europe: a meteorological data infrastructure, a remote sensing data infrastructure, a crop modelling platform, statistical tools, a team of analysts and a crop area estimation component. The framework designed evaluates the performance of the possible MCYFS-like system realizations against six defined objectives and their costs. Possible monitoring systems are based on a combination of different technical solutions for each of the MCYFS components, and are evaluated through an automatic algorithm that calculates the expected system performance –relying on a priori expert judgement–, the costs, and possible risks to construct some technical solutions, to finally identify the cost-efficient ones. A baseline system, achieving the minimum required performance, was identified as the most efficient starting point for the MCYFS extension in all the geographical areas. Such system would be built upon: (i) near real-time reanalysis meteorological products; (ii) remote sensing data from low-resolution (~1 km) platforms with a long-term product archive; (iii) crop models based on crop-specific model calibration from experimental data published in scientific literature; (iv) statistical methods based on trend and regression analysis applied to national level; (v) a team of analysts with specific technical profiles (on meteorology, remote sensing, and agronomy); and (vi) digital classification of very high resolution imagery supported by non-expensive ground surveys for area estimation. In countries where accessibility to local data and resources is high the baseline system can be upgraded enhancing some of the components: sub-national statistical analysis with additional statistical methods like multiple regression or scenario analysis; recruitment of experts on local agricultural conditions in the team of analysts; local calibration of crop models with experimental data; and exploiting high and low resolution biophysical products from remote sensing for crop monitoring.
Fichier principal
Vignette du fichier
2019 - López-Lozano - AngricultSystem_1.pdf (5.83 Mo) Télécharger le fichier
Origin Publisher files allowed on an open archive
Loading...

Dates and versions

hal-02619128 , version 1 (25-05-2020)

Licence

Identifiers

Cite

Raul Lopez-Lozano, Bettina Baruth. An evaluation framework to build a cost-efficient crop monitoring system. Experiences from the extension of the European crop monitoring system. Agricultural Systems, 2019, 168, pp.231-246. ⟨10.1016/j.agsy.2018.04.002⟩. ⟨hal-02619128⟩
15 View
23 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More