Agriculture continues to be the backbone of the economy of Rwanda contributing more than a third of the country’s GDP. The government of Rwanda with collaboration of researchers and its population has to stress on policies and projects to stimulate productivity as they are many corners in agriculture sector to be improved. Bolstering the livelihoods in developing countries is feasible through maintenance of food sovereignty and safety by increasing productivity.
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.
This book documents a unique series of 19 case studies where agricultural biotechnologies were used to serve the needs of smallholders in developing countries. They cover different regions, production systems, species and underlying socio-economic conditions in the crop (seven case studies), livestock (seven) and aquaculture/fisheries (five) sectors. Most of the case studies involve a single crop, livestock or fish species and a single biotechnology.
This article presents the results of a study conducted in Northeast Thailand on wild food plant gathering in anthropogenic areas and the implications for vulnerable households. A sub-sample of 40 farming households was visited every month to conduct seven-day recalls over a 12-month period on wild food plant acquisition events. Results show that these plants are an essential part of the diet, constituting a "rural safety net" particularly for vulnerable households.
The Sourcebook is the outcome of joint planning, continued interest in gender and agriculture, and concerted efforts by the World Bank, FAO, and IFAD. The purpose of the Sourcebook is to act as a guide for practitioners and technical staff inaddressing gender issues and integrating gender-responsive actions in the design and implementation of agricultural projects and programs. It speaks not with gender specialists on how to improve their skills but rather reaches out to technical experts to guide them in thinking through how to integrate gender dimensions into their operations.
This report summarizes the findings of the study on Competitive Commercial Agriculture for Africa (CCAA). The objective of the CCAA study was to explore the feasibility of restoring international competitiveness and growth in African agriculture through the identification of products and production systems that can underpin rapid development of a competitive commercial agriculture.
Farmers in Asia like to grow cassava because the crop will tolerate long dry periods and poor soils, and will produce reasonable yields with little inputs. Most farmers realize, however, that cassava production on slopes can cause severe erosion, while production without fertilizer inputs may lead to a decline in soil productivity. Research has shown that cassava yields can be maintained for many years with adequate application of fertilizers, and that there are various ways to reduce erosion.
The study first identified fully efficient farmers and then estimated technical efficiency of inefficient farmers, identifying their determinants by applying a Zero Inefficiency Stochastic Frontier Model (ZISFM) on a sample of 300 rice farmers from central-northern Thailand. Next, the study developed scenarios of potential production increase and resource conservation if technical inefficiency was eliminated. Results revealed that 13% of the sampled farmers were fully efficient, thereby justifying the use of our approach.
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.