Crop surface models (CSMs) representing plant height above ground level are a useful tool for monitoring in-field crop growth variability and enabling precision agriculture applications. A semiautomated system for generating CSMs was implemented. It combines an Android application running on a set of smart cameras for image acquisition and transmission and a set of Python scripts automating the structure-from-motion (SfM) software package Agisoft Photoscan and ArcGIS. Only ground-control-point (GCP) marking was performed manually.
Precision Agriculture (PA) has been advocated as a promising technology and management philosophy that provides multidimensional benefits for producers and consumers while being environmentally friendly. In Europe, private stakeholders (farm advisors, farm equipment producers, decision support providers, farmers) and research institutions have been trying to develop, test and demonstrate adoption of precision agriculture solutions with governments financing big projects in these areas. Despite these efforts, adoption is still lagging behind expectations.
The potential beneficial and harmful social impacts generated by the introduction of novel technologies, in general, and those concerning nutrient recovery and the improvement of nutrient efficiency in agriculture, in particular, have received little attention, as shown in the literature. This study investigated the current social impacts of agricultural practices in Belgium, Germany and Spain, and the potential social impacts of novel technologies introduced in agriculture to reduce nutrient losses.
Mainstream agricultural research has focused primarily on technical and biological aspects and is aimed at controlling or manipulating nature through the use of external inputs, such as
agricultural chemicals or super seed. In developing countries, the results of this research have benefited some resource-rich farmers in well-endowed areas, were suitable to only a limited
extent for poorer farmers in the more favourable areas, and were - in most cases - completely inappropriate for small-scale farmers in marginal areas, e.g. in the mountains or the drylands.
The European Innovation Partnership for agricultural productivity and sustainability (EIP-AGRI), which can be perceived as a platform based on interaction among farmers, researchers, and advisors/extensionists, represents a useful tool for a better understanding of applied innovation processes.
This report presents the results of a study that shall contribute to provide information on the national organisation of agricultural research and an overall picture of developments in agricultural research in 33 selected countries (current EU28 plus Iceland, Israel, Norway, Switzerland and Turkey). The study covers all areas related to agricultural and food research research including research dedicated to emerging challenges of the European agricultural and food sector in 2006/2007.
The present study investigates the value chain supplying school catering with organic produce, using the organic vegetable industry in the Berlin-Brandenburg region as an example. It employs a qualitative case study approach to explore industry actors’ perspectives and their activities within the value chain. Data is collected by conducting ten in-depth interviews with actors on different supply chain levels (farming, wholesale, and school catering) and is analyzed using qualitative content analysis
In sustainability research, transdisciplinary (TD) approaches that involve practitioners in the research process have emerged as promising tools for enhancing real-world knowledge and engendering societal change. However, empirical insights into how such participation can contribute to the societal effects of TD research are scant and largely rely on single case studies, neglecting practitioners’ perceptions.
How we eat has a major impact on our individual health status, our quality of life and our well-being. Many of the foods we eat have a major social, environmental, climate and animal welfare footprint. This expertise defines policies to promote sustainability in food consumption as policies that integrate all four target dimensions: human health, social aspects, the natural environment (including climate) and animal welfare. Achieving greater sustainability in food consumption poses great challenges.
Sustainability is GIZ’s guiding principle and forms the basis for our contributions to shaping a society that is fit for the future. We compile and analyse all the most important climate and environmental data every year to gain a better understanding of our environmental sustainability and continuously improve our performance. Externally validated information about our activities in Germany is provided by the Eco-Management and Audit Scheme (EMAS).