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Protein autonomy as seen in 217 dairy farms
News

Protein autonomy as seen in 217 dairy farms

The Interreg V AUTOPROT project ended 2020 with advances in the analysis of the protein autonomy of dairy farms!

Catch crops grazing, a way of bringing crops and livestock together
News

Catch crops grazing, a way of bringing crops and livestock together

The mutually beneficial interaction between arable crops and livestock is rejuvenated through the Nitrates Directive.

Towards the sustainable management of agricultural soils
News

Towards the sustainable management of agricultural soils

EJP-Soil aims to create a research environment suitable for increasing the contribution made by agricultural soils to major societal challenges.

A B2 vitamin for the breeding of poultry in organic farming
News

A B2 vitamin for the breeding of poultry in organic farming

Currently, there is no feed additive for riboflavin supplementation of poultry diets available on the market that meets the European organic regulations.

The sustainability of systems is improved by crop diversification
News

The sustainability of systems is improved by crop diversification

Researchers involved in the European DiverIMPACTS project are collaborating with farmers and other stakeholders of the sector in the step-by-step development of innovative practices.

CRA-W info n°68
CRA-W info

CRA-W info n°68

Spring 2021

Monogastric breeding in multi-species livestock farming
News

Monogastric breeding in multi-species livestock farming

In organic livestock breeding, there is a growing interest in monogastric grazing.

UAVSoil: Using drones to optimize agricultural plot management
News

UAVSoil: Using drones to optimize agricultural plot management

Development of machine learning models to predict compressed sward height in Walloon pastures on the basis of Sentinel-1, Sentinel-2 and meteorological data using multiple data transformations.
Scientific publications

Development of machine learning models to predict compressed sward height in Walloon pastures on the basis of Sentinel-1, Sentinel-2 and meteorological data using multiple data transformations.

Nickmilder, C. , Tedde, A. , Dufrasne, I. , Lessire, F. , Tychon, B. , Curnel, Y. , Bindelle, J. & Soyeurt, H. (2021). Development of machine learning models to predict compressed...