While vaccination campaigns against COVID-19 were launched worldwide, a drama has been unfolding in the Moroccan countryside. It has been marked, over the last couple of decades, by rapid agrarian transformation, manifestations of which have included expanding irrigation frontiers and the increasing growth of high-value crops. These dynamics rely strongly on female agricultural wageworkers. Although they earn low wages, their income is crucial and is used to care for loved ones by paying for school fees, rent, electricity, and medicines.
Le secteur agricole constitue une activité importante au Maroc, représentant 14 % du produit national brut et employant 40 % de la population active. Avec l’émergence de la pandémie de la Covid-19, il a été ébranlé par des incertitudes économiques et par la distanciation physique qui a accentué les contraintes du travail. Toutefois, l’agriculture s’est imposée comme une activité cruciale, puisqu’elle a continué à assurer l’approvisionnement alimentaire à des prix abordables.
Cet article présente une évaluation théorique de la performance urbaine des modèles alimentaires alternatifs dans la prise en charge des objectifs de développement durable (ODD) en vue d’améliorer la sécurité alimentaire urbaine. Elle concerne les modèles des systèmes alimentaires les plus relatés dans la littérature, à savoir le système alimentaire territorialisé (SAT), le City-Region Food System (CRFS) et le système alimentaire urbain intelligent (SAUI) en émergence.
There are growing expectations that Information and Communication Technology (ICT) applications could help improve on-farm yields amongst smallholder farmers in developing countries, and consequently, food and nutrition security. However, few studies have quantified the actual contribution of ICT applications on farmers’ yields, and these studies predominantly focused on crop production. We assessed the potential of ICT applications to close milk yield gaps among small- and medium scale dairy cattle farmers in Africa.
The COVID-19 pandemic and the measures taken by governments on social distancing and mobility restrictions have contributed to boosting the use of digital technology to bridge some of the physical access gaps. An increasing number of services and extension/information activities are delivered through digital tools and applications. E-commerce has also flourished. As a result, the potential of digital technologies has gained prominence in immediate response and recovery strategies and programmes.
Controlled Environment Agriculture (CEA) is the production of plants, fish, insects, or animals inside structures such as greenhouses, vertical farms, and growth chambers, in which environmental parameters such as humidity, light, temperature and CO2 can be controlled to create optimal growing conditions.
The present study was designed with the following objectives: i) to evaluate selected stress-tolerant maize hybrids developed by CIMMYT in eastern Africa under farmers’ conditions; ii) to identify farmers’ selection criteria in evaluating and selecting maize hybrids; iii) to let farmers evaluate the varieties and score them for the identified criteria and overall.
Integrated Pest Management (IPM) is considered as an ecological conservation technology for crop pests' management; however, the technology adoption is intensely affected by surrounding socio-psychological environment, which is poorly studied, particularly in developing nations. The present study therefore aimed at addressing this gap through application of an extended form of Technology Acceptance Model (TAM) in order to examine the determinants of Iranian farmers' ecological conservation behavior regarding the use of IPM practices.
At present, agricultural policies in Kenya often ignore specific target groups because there is a lack of contextual information on farmers’ specific socio-economic conditions. The aim of this study was to fill this knowledge gap by answering the following research questions: 1. What determines the adaptive capacity of AIV farmers in Kenya? 2. How does access to capital assets differ by farming household characteristics and between the selected areas? 3. What are the AC levels of AIV farmers in the selected zones of Kenya? 4.
In this study the farmers were first asked to answer two sets of statements related to views on climate change and experiences on changes so far in their own farm or nearby locations.