Boll guard I & II were introduced in 2002 and 2006 by Mahyco Monsanto with Genetic Engineering Appraisal Committee, Govt. of India. Indian cotton farmers adopted Bt hybrid cotton between 2002-2013 reaching 92% of the cotton area and 95% of the production, replacing conventional hybrids/ varieties of all the species in both rainfed and irrigated conditions. Bt hybrid cotton was presumed to produce record highest average productivities in India and other major cotton growing countries also in 2007 and 2012 with a decline after 2008 due to excess rains. Farmers invested Rs.
International Food Policy Research Institute (IFPRI) partnered with the Asia-Pacific Association of Agricultural Research Institutions (APAARI) in 2011 to conduct a series of policy dialogues on the prioritization of demand-driven agricultural research for development in South Asia. Dialogues were conducted with a wide range of stakeholders in Bangladesh, India, and Nepal in mid-2012 and this report captures feedback from those dialogues.
The challenges of providing food security for the developing world have perhaps never been so extreme, with the introduction of new technologies being matched by land degradation, water concerns and the often uncertain impacts of a changing climate. In short, we will need to produce more food on less land. Adding to the problem is the distrust and fear around some new technologies – particularly biotechnologies – that have created a divide between scientists and farmers, decision makers and the public. There have been many attempts to bridge these divides, but few success stories.
In an effort to reinvigorate and strengthen its agriculture research system, the Department of Agriculture, Ministry of Agriculture and Forests (MoAF), designed a series of capacity building programmes over the last six months. The initiatives were instrumental in building functional capacities (soft skills) of over 90 officials, who mostly represented the country’s four agriculture research centres.
A network of women farmers’ leaders is set to drive widespread adoption of innovations and technologies across India. The International Rice Research Institute (IRRI), together with the Department of Biotechnology of India’s Ministry of Science and Technology, are training women farmer leaders on advanced rice production and soft skills to help boost food security in India.
The paper, prepared for the "High Level Policy Dialogue on Investment in Agricultural Research for Sustainable Development in Asia and the Pacific" (Bangkok Thailand; 8-9 December 2015), presents the Common Framework on Capacity Development for Agricultural Innovation Systems (CDAIS).The framework is a core component of the Action Plan of the TAP, a G20 Initiative, aiming to increase coherence and effectiveness of capacity development for agricultural innovation that lead to sustainable change and impact at scale.
The Asia-Pacific Association of Agricultural Research Institutions (APAARI) in collaboration with the Australian Centre for International Agricultural Research (ACIAR), Department of Agriculture (DOA), Thailand, Food and Agriculture Organization of the United Nations – Regional Office for Asia and the Pacific (FAO RAP), Global Forum on Agricultural Research (GFAR) and International Food Policy Research Institute (IFPRI), organized a High Level Policy Dialogue (HLPD) on Investment in Agricultural Research for Sustainable Development in Asia and the Pacific on 8-9 December 2015 in Bangkok, Th
The creation of Competitive Research Grants (CRGs) is globally recognized as an institutional innovation for improving the effectiveness of agricultural research. Unlike block grants for research, CRGs are expected to bring in many top-quality proposals from a wide range of actors, selecting the best out of them and thus getting more value for money.
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.