ISO 23117-1:2023

International Standard   Current Edition · Approved on 02 June 2023

Agricultural and forestry machinery — Unmanned aerial spraying systems — Part 1: Environmental requirements

ISO 23117-1:2023 Files

English 12 Pages
Current Edition
81.46 USD

ISO 23117-1:2023 Scope

This document, when used together with ISO 16119-1, specifies the requirements and the means for verification of the design and performance of unmanned aerial spraying systems (UASS) mounted on unmanned aircraft systems (UAS) for application of plant protection products (PPPs) in agriculture, forestry, turf and amenity areas, with regard to minimising the potential risk of environmental contamination during use, including misuse foreseeable by the UASS manufacturer.

The requirements of this document take precedence over those of ISO 16119-1. The ISO 23117 series does not cover human safety aspects of UASS’s or safety aspects concerning UAS’s, remote pilots or bystanders.

This document is not applicable to UASS mounted on UASs with a maximum take-off mass greater than 150 kg.

This document is not applicable to UASSs manufactured before the date of its publication.

Best Sellers

GSO 150-2:2013
 
Gulf Standard
Expiration dates for food products - Part 2 : Voluntary expiration dates
YSMO GSO 150-2:2020
GSO 150-2:2013 
Yemeni Technical Regulation
Expiration dates for food products - Part 2 : Voluntary expiration dates
YSMO GSO 2055-1:2020
GSO 2055-1:2015 
Yemeni Standard
HALAL FOOD - Part 1 : General Requirements
GSO 2055-1:2015
 
Gulf Technical Regulation
HALAL FOOD - Part 1 : General Requirements

Recently Published

ISO 37303:2025
 
International Standard
Compliance management systems — Guidance for competence management
ISO 37302:2025
 
International Standard
Compliance management systems — Guidance for the evaluation of effectiveness
ISO 21740:2025
 
International Standard
Space systems — Launch window estimation and collision avoidance
ISO 7899-3:2025
 
International Standard
Water quality — Enumeration of intestinal enterococci — Part 3: Most probable number method