Agricultural Internet of Things (IoT) has brought new changes to agricultural production. It not only increases agricultural output but can also effectively improve the quality of agricultural products, reduce labor costs, increase farmers' income, and truly realize agricultural modernization and intelligence. This paper systematically summarizes the research status of agricultural IoT. Firstly, the current situation of agricultural IoT is illustrated and its system architecture is summarized. Then, the five key technologies of agricultural IoT are discussed in detail.
The importance of extension services in helping smallholder farmers to address the many challenges of agricultural production cannot be over-emphasized. However, relatively few studies have been conducted that investigate how the capacities of agricultural extension agents can be built to more effectively assist smallholder farmers in managing climate risks and impacts. As climate change is a key threat to smallholder food production, addressing this issue is increasingly important.
In recent years, the agricultural industry has been experiencing an ever-increasing application of information and communication technologies globally. This new revolution has been touted to impact efficiency and productivity in the agricultural extension services within the agriculture sector. Notwithstanding this, empirical research need to be carried out amongst its users in the sector to ascertain these assertions.
L’équipe d’Analyse et de Cartographie de la Vulnérabilité (VAM, Vulnerability Analysis and Mapping) du Bureau Régional pour l'Afrique de l'Ouest et Centrale (RBD, Regional Bureau Dakar) du Programme Alimentaire Mondial (PAM) a lancé une initiative régionale sur le Genre et les Marchés afin de renforcer la collecte et l’analyse de données sexospécifiques sur les rôles, les défis et l’autonomisation des femmes et des hommes dans les marchés de neuf pays de l’Afrique de l’Ouest.
Contract farming has gained in importance in many developing countries. Previous studies analysed effects of contracts on smallholder farmers’ welfare, yet mostlywithout considering that different types of contractual relationships exist. Here, we examine associations between contract farming and farm household income in the oilpalm sector of Ghana, explicitly differentiating between two types of contracts,namely simple marketing contracts and more comprehensive resource-providing contracts.
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.
Individuals from a diverse range of backgrounds are increasingly engaging in research and development in the field of artificial intelligence (AI). The main activities, although still nascent, are coalescing around three core activities: innovation, policy, and capacity building. Within agriculture, which is the focus of this paper, AI is working with converging technologies, particularly data optimization, to add value along the entire agricultural value chain, including procurement, farm automation, and market access.
Gender integration focuses on applying a gender lens to look at how social relations of gender and underlying power dynamics affect men’s and women’s participation in and benefit from development programmes. In Plantwise, gender mainstreaming aimed to (1) understand gender relations and how they affected access to agricultural advisory services and adoption of plant health management practices, and (2) remove gender related barriers to access and adoption and improve gender equity.
The invasive pest, fall armyworm (FAW) was confirmed to be in Ghana in 2016. Stakeholders, including CABI, worked to support the development of a national FAW management plan. A review of the management plan implementation was undertaken using outcome harvesting, a Sprockler inquiry and key informant interviews. Results showed evidence of stakeholder collaboration, leading to increased public awareness of FAW and related management practices, and more coordinated research into low-risk management options.
Social learning processes can be the basis of a method of agricultural innovation that involves expert and empirical knowledge. In this sense, the objective of this study was to determine the effectiveness and sustainability of an innovation process, understood as social learning, in a group of small farmers in the southern highlands of Peru. Innovative proposals and its permanence three years after the process finished were evaluated. It was observed that innovation processes generated are maintained over time; however, new innovations are not subsequently generated