New CWA 17898:2022 'Methodology to quantify the global agricultural crop footprint including soil impacts'

The CEN Workshop on 'Methodology to quantify the global agricultural crop footprint including soil impacts' is a result of the Spanish Retos-Colaboración 2017 project FERTILIGENCIA (Innovative fertilizers to reduce the environmental impact of agriculture and development of a standard for assessing the sustainability of agroecosystems), whose general objective is to develop intelligent fertilizers using the understanding of the soil-microbiome-plant system, setting the first steps for an agriculture new revolution, able to satisfy the future food demand, minimizing the environmental impacts and loss of fertile soil.

The CEN Workshop has just published the CWA 17898:2022 “Methodology to quantify the global agricultural crop footprint including soil impacts” which specifies a methodology for identifying, characterizing, and implementing a single indicator to assess the quality and degradation of agricultural soils and the overall impact of the agriculture processes. An innovative exergy methodology to evaluate biological, physical and chemical attributes of a fertile soil has been developed; a simple but robust methodology that allows any actor to use it and understand their farming system.

 

Download here CWA 17898:2022

image
TAGS:
CWA

SIMILAR NEWS

Our use of cookies

We use necessary cookies to make our site work. We'd also like to set optional analytics cookies to help us improve it. We won't set optional cookies unless you enable them. Using this tool will set a cookie on, your device to remember your preferences.

Necessary cookies enable core functionality such as security, network management, and accessibility. You may disable these by changing your browser settings, but this may affect how the website functions.

We'd like to set Google Analytics cookies to help us to improve our website by collecting and reporting information on how you use it. The cookies collect information in a way that does not directly identify anyone.

I accept all cookies
)