L’une des avancées les plus importantes dans le domaine de l’observation de la terre est la découverte des indices spectraux, ils ont notamment prouvé leur efficacité dans la caractérisation des surfaces agricoles, mais ils sont généralement définis de manière empirique. Cette étude basée sur l’intelligence artificielle et le traitement du signal, propose une méthode pour trouver un indice optimal. Et porte sur l’analyse d’images issues d’une caméra multi-spectrale, utilisée dans un contexte agricole pour l’acquisition en champ proche de végétation.
Cet article présente une nouvelle approche à base de logique floue pour évaluer le risque phytosanitaire dans une serre produisant des roses. Le but de cette étude est de fournir à l’agriculteur un indice représentant le risque de présence de nuisible : Western Flower Thrips (WFT) ou Frankliniella Occidentalis, et d’enlever la phase decomptage manuel. Un systéme d’aide à la décision modulaire basé sur la connaissance d’experts a été conçu. Le systéme proposé fournit un facteur de risque en fonction des données météorologiques et statiques.
This paper, presented at the 8th European IFSA Symposium ( Workshop 6: "Change in knowledge systems and extension services: Role of the new actors") in 2008, discusses the innovation network Waardewerken, a Dutch network of rural entrepreneurs pioneering in multifunctional agriculture. which aims to contribute to a professional multifunctional agriculture sector in the Netherlands. For this purpose it cooperates with researchers and policymakers in order to improve policy conditions and to develop knowledge for multifunctional farmers.
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 paper shows there is a fundamental significance of Social Learning to agricultural innovation, which can be operationalized by framing agricultural innovation as changes in understanding, practices and relationships. The use of Social Learning as a design framework supports the emergence of agricultural innovations that bring equitable benefits, are sustainable and are innovated in context.
In the Netherlands, agroforestry is still in its infancy with silvoarable agroforestry systems being the most rarely adopted form of agroforestry. In order to reach a broader adoption of agroforestry, many regulatory and practical obstacles have to be overcome. By using a systems innovation approach this paper show that this transition process can be facilitated and accelerated in a targeted manner. System innovations in agriculture are multi-objective changes on the technological, social, economic and institutional level.
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.
As part of the EU funded AgriSpin project (www.agrispin.eu), which aimed at “creating space for innovations” in agriculture across Europe, this contribution addresses the above mentioned knowledge gaps by a. elaborating a generic typology appropriate to capture the variety of ISS, b. structuring selected innovations along the degree of technological change and coordination levels, and c.
This study aims at contributing to a better understanding of the linkage between supply chain performance and possible performance improvement with respect to food quality and safety. Therefore, the paper addresses the question whether the level of collaborative planning and close supply chain relationships could help improve quality and safety of organic supply chains. The study was conducted as a part of the multi-disciplinary EU-wide survey of organic supply chains, carried out in 8 European countries.
In comparison with the other EU (27) countries Innovation capacity indicators in Latvia remain low and considerably underperform. Problems and solutions are illustrated to represent innovation capacity in Latvia. The article consists of the following parts: first - theoretical aspects are selected to describe the essential definition of the analyzed subject. In the second part, experience from abroad is described, at the end – Latvian innovation policy and situation is analyzed and suggestions for further needs are formulated.