Les capteurs, allant du simple thermomètre jusqu’aux drones, se sont démocratisés dans les exploitations agricoles. Ils permettent désormais de collecter une multitude d’informations sur l’ensemble de l’exploitation et de transmettre en temps réel des données sur l’état et les performances des machines, des cultures et des animaux.
Droughts are causing severe damages to tropical countries worldwide. Although water abundant, their resilience to water shortages during dry periods is often low. As there is little knowledge about tropical drought characteristics, reliable methodologies to evaluate drought risk in data scarce tropical regions are needed.
E‐KOKARI is an Interactive Voice Response (IVR) platform, developed in Niger, which enables farmers, breeders and buyers to access information, advice, warnings and market prices in the field of agriculture and livestock. When a user dials a short number from his phone he can access a voice menu in the main local languages (French, Hausa and Zarma) of the country, which guides him/her according to his/her needs. A prototype was developed and tested during a period of 10 months in the course of 2017, but the practice still needs to be implemented and evaluated in the field.
CABI and the Cereal Growers Association (CGA) have been sharing information with farmers in Kenya on how to effectively and safely manage the continuing threat of the invasive fall armyworm (Spodoptera frugiperda). This was achieved thanks to a development communication campaign that combined video sharing through a network of lead farmers and social media.
Innovation is the main driver of agricultural and rural transformation. This video highlights support provided by FAO to countries in adopting and scaling-up sustainable practices, particularly by promoting agricultural innovation to smallholder farmers. FAO has developed and deployed a Fall Armyworm Monitoring and Early Warning System (FAMEWS).
In creating a usable Information System (IS), the quality of information is crucial for making the right decisions. Although, many Information Quality (IQ) features have been identified in a broader context, only certain IQ features would become applicable for each domain from the usability perspective. This study focuses on a theoretical analysis to identify the IQ features which would be significant to produce a usable agricultural information system with respect to the developing countries.
Smallholder farmers in East Africa need information and knowledge on appropriate climate-smart agriculture (CSA) practices, technologies, and institutional innovations in order to effectively adapt to changing climatic conditions and cope with climate variability. This paper assesses farmer adoption of climate-smart agricultural practices and innovation after being exposed to Farms of the Future Approach (FotF). First; we explore and assess the various CSA technologies and practices; including institutional innovations farmers are adopting.
This article presents lessons from the rich adoption literature for the nascent research on adaptation. Individuals' adoption choices are affected by profit and risk considerations and by credit and biophysical constraints. New technologies spread gradually, reflecting heterogeneity among potential adopters, processes of learning and technological improvement, and policies and institutions. Adaptation is the response of economic agents and societies to major shocks. We distinguish between reactive and proactive adaptation.
Inefficiencies and imprecise input control in agriculture have caused devastating consequences to ecosystems. Urban controlled environment agriculture (CEA) is a proposed approach to mitigate the impacts of cultivation, but precise control of inputs (i.e., nutrient, water, etc.) is limited by the ability to monitor dynamic conditions. Current mechanistic and physiological plant growth models (MPMs) have not yet been unified and have uncovered knowledge gaps of the complex interplay among control variables.
The problems of agricultural development for small and medium enterprises (SMEs) are considered. The features of modeling business processes in agriculture are analyzed. A financial decision support system is proposed to increase sustainability and reduce risks in the development of agricultural SMEs. The software modules are based on TEO-INVEST.