An Application of the “Traffic Lights” Idea to Crop Control in Integrated Administration Control System

Beata Hejmanowska,Mariusz Twardowski,Anna Żądło

doi:10.7494/geom.2021.15.4.129

Beata Hejmanowska, Mariusz Twardowski + Show 1 more

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https://doi.org/10.7494/geom.2021.15.4.129

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Abstract

The aim of the paper is to discuss the idea of marking agricultural parcels in the control of direct payments to agriculture. The method of using remote sensing to monitor crops and mark them according to the idea of “traffic lights” is introduced. Classification into a given “traffic lights” color gives clear information about the status of the parcel. The image classification was done on Sentinel-1 and Sentinel-2 datasets by calculating the NDVI and SIGMA time series in the season from autumn 2016 to autumn 2017. Two approaches are presented: semi-automated and automated classifications. Semi-automated classification based on NDVI_index and SIGMA_index. Automated classification was performed on NDVI by Spectral Angle Mapper method and on SIGMA by Artificial Neural Network (Multilayer Perceptron, MLP method). The following overall accuracy was obtained for NDVI_SAM: 70.35%, while for SIGMA_CNN it was: 62.01%. User accuracy (UA) values were adopted for traffic lights analysis, in machine learning: positive predictive value (PPV). The UA/PPV for rapeseed were in NDVI_index method: 88.1% (6,986 plots), NDVI_SAM: 85.0% (199 plots), SIGMA_index: 61.3% (4,165 plots) and in SIGMA_CNN: 88.9% (2,035 plots). In order to present the idea of “traffic lights”, a website was prepared using data from the NDVI_index method, which is a trade-off between the number of plots and UA/PPV accuracy.

Highlights

The Integrated Administration and Control System (IACS) [1] is an information system for the management of payments to farmers in European Union countries under the principle of share management
IACS consists of digital databases, such as [1]: – Land Parcel Identification System (LPIS) – for the identification of plots in EU countries, – Geospatial Aid Application (GSAA) – for farmers to graphically indicate the agricultural area for which they are applying, – an integrated control system based on computational cross checks and physical on-farm controls
This subsection presents the results of NDVI and SIGMA time series classification for crop control using the semi-automatic method, Spectral Angle Mapper (SAM) method and neural networks

Summary

Introduction

The Integrated Administration and Control System (IACS) [1] is an information system for the management of payments to farmers in European Union countries under the principle of share management. National administrations provide pre-established information, check if farmers meet the conditions for income support, and update applications for the following year. To meet these goals, IACS consists of digital databases, such as [1]: – Land Parcel Identification System (LPIS) – for the identification of plots in EU countries, – Geospatial Aid Application (GSAA) – for farmers to graphically indicate the agricultural area for which they are applying, – an integrated control system based on computational cross checks and physical on-farm controls

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