E-Agriculture

computers News and Events

  • Digital Agriculture Forum 2022

    9 December | 9:00 -11:00 CET Register Now The Digital Agriculture Forum (DAF) 2022 will take place in virtual mode via Zoom on 9 December 2022, Friday . The DAF 2022, themed “Enabling Digital Transformation in Agriculture with Emerging Technologies”, is the third edition of the annual joint event...
  • Digital Agriculture Forum 2022 is open for registration!

    Digital Agriculture Forum 2022 9 December | 9:00 -11:00 CET Register Now The Digital Agriculture Forum (DAF) 2022 will take place in virtual mode via Zoom on 9 December 2022, Friday . The DAF 2022, themed “Enabling Digital Transformation in Agriculture with Emerging Technologies”, is the third edition of the annual joint event co-organized by FAO and Zhejiang University to host policy and technical discussions and share knowledge and good practices in the area of digital agriculture as well as digital innovation. Since 2019, the DAF has attracted over 600 participants from more than 80...
  • WSIS Official Opening Segment

    The WSIS Forum provides a multistakeholder platform to foster global cooperation and provide meaningful connections to information society by ensuring Information and Communication Technologies (ICTs) as a key enabler for sustainable development. Under the theme of WSIS Forum 2021 this year: ICTs...
  • Special issue on Internet of Everything

    The​​​​me The Internet of Everything (IoE) is the interconnection of people, processes, data, and things. It was conceptualized by CISCO as the natural evolution of the Internet of Things (IoT), in the aim of including the entire realm of information sources and destinations in one paradigm.Although the IoE concept has attracted the increasing attention of the scientific community since its introduction, the research results achieved so far have only just scratched the surface leaving the very fundamental questions regarding the IoE unanswered. In fact, the IoE has characteristics in terms of...
  • Four Key Findings: Smallholder Farmer Use of Mobile Phones for Agriculture

    ICTWorks published a guest article that summarizes the research findings on Smallholder Farmers Use of Mobile Phones for Agriculture. The research was done in Kenya and examined the use of ‘m-services’ by farmers. The study-examined factors affecting the likelihood of Kenyan farmers’ adoption of m-services specifically related to agriculture and livestock information, buying and selling products, and alerts about agricultural or livestock activities.The findings were that:- Farmers are using apps, but adoption is low Digital divides exist in wealth, gender and education Women lag (slightly)...
  • Is there a potential in adopting Artificial Intelligence in food and agriculture sector, and can it transform food systems and with what impact?

    By Thembani Malapela In brief AI and Machine Learning technologies could transform the agri-food systems and help ending hunger. UN-Wide System is adopting the Artificial Intelligence in its programmes. The Food and Agriculture Organization of the United Nations (FAO) is adopting and experimenting with AI and Machine Learning across the agriculture domain. FAO is also aware of the impact of AI and is now a signatory to the " Rome Call for AI Ethics " Introduction In 2017, l wrote a blog on whether Artificial Intelligence (AI) can improve agricultural productivit y and at that time, the...
  • MOOC:Drones for Agriculture: Prepare and Design Your Drone (UAV) Mission

    Wageningen University & Research is offering an exciting M OOC on Drones for Agriculture: Prepare and Design Your Drone (UAV) Mission . Learn how to prepare and execute a flight mission with an Unmanned Aerial Vehicle (UAV) and how to use, process and understand the collected drone data for your own applications. Who is it for? Although the course was initially made for agriculture technicians, researchers or graduate students from multidisciplinary technical fields, everyone that aims to learn how to use an off-the-shelf small drone for generating a high-resolution image from a field, or...