Thumbnail Image

Digital agriculture in action

ArtificiaI intelligence for agriculture

Year of publication 2021

Place of publication Bangkok, Thailand ;

Pages 106 p.

Author Elbehri, A., Chestnov, R. (eds.)

Publisher FAO ; ITU ;

Product type Book (stand-alone)

ISBN 978-92-5-135102-4

Edition 1

To cite or share https://doi.org/10.4060/cb7142en

Synopsis (short abstract) This publication on artificial intelligence (AI) for agriculture is the fifth in the E-agriculture in Action series, launched in 2016 and jointly produced by FAO and ITU. It aims to raise awareness about existing AI applications in agriculture and to inspire stakeholders to develop and replicate the new ones. Improvement of capacity and tools for capturing and processing data and substantial advances in the field of machine learning open new horizons for data-driven solutions that can support decision-making, facilitate supervision and monitoring, improve the timeliness and effectiveness of safety measures (e.g. use of pesticides), and support automation of many resource-consuming tasks in agriculture. This publication presents the reader with a collection of informative applications highlighting various ways AI is used in agriculture and offering valuable insights on the implementation process, success factors, and lessons learnt.

Cite this content as:

Elbehri, A. and Chestnov, R. (eds). 2021. Digital agriculture in action – Artificial Intelligence for agriculture. Bangkok, FAO and ITU. 

https://doi.org/10.4060/cb7142en

Read on Google Books and buy online

Language English

Also available in:
No results found.

Related items

Showing items related by metadata.

  • Thumbnail Image
    Book (series)
    Digital agriculture in action
    Selected case studies from India
    2022
    Also available in:
    No results found.
    Agriculture is becoming more knowledge-intensive. Access to timely, accurate information tailored to specific locations and conditions is critical to helping farmers make the most of their resources in changing circumstances. Digital technologies help overcome these challenges by bridging the information gap, improving access to market information, enhancing access to micro-finance, providing actionable advisories on managing pest and disease as well as improving agriculture human capital. However, sustaining digital interventions needs a holistic approach that includes the right policies, frameworks, ecosystem and capacities. This publication highlights some successful initiatives in leveraging digital technologies, improving value-chain processes and building capacity to bring about positive change among agriculture stakeholders and improve livelihoods. This publication is part of the Country Investment Highlights series under the FAO Investment Centre's Knowledge for Investment (K4I) programme.
  • Thumbnail Image
    Book (stand-alone)
    Accelerating Innovative Monitoring for Forests (AIM4Forests)
    Mid-term review report
    2025
    Also available in:
    No results found.
    The mid-term review (MTR) report of the Accelerating Innovative Monitoring for Forests (AIM4Forests) programme was conducted at the request of the AIM4Forests steering committee and in line with the United Kingdom AIM4Forests business case. The main purpose was to provide an independent assessment of the programme’s progress and likelihood of achieving the set goals and make recommendations to enhance programme performance and address strategic issues concerning the programme scope. The MTR focused on the programme from its start in mid-2023 until December 2024 covering programme activities and results at all levels. The Food and Agriculture Organization of the United Nations (FAO) and the United Kingdom of Great Britain and Northern Ireland have launched AIM4Forests, a five-year programme to support forest monitoring based on modern monitoring technologies and technical innovation, as well as the use of space data and remote sensing. The programme is all about leveraging technical innovation to create data and information to inform the right courses of action to reduce deforestation and restore forests. AIM4Forests will leverage everything that technology and innovation offers such as artificial intelligence and machine learning. In addition, it will also make sure that the capacity is transferred to countries, including Indigenous Peoples, and local communities who manage the forests – only that way can we see real change.
  • Thumbnail Image
    Brochure, flyer, fact-sheet
    Bioeconomy Talks for Sustainable Food and Agriculture (Bet 4 Sustainable Food and Agriculture)
    Harnessing artificial intelligence & machine learning for bioeconomy innovation & sustainability
    2025
    Also available in:
    No results found.
    This talk will showcase some key methodologies and tools used in bioeconomy research and development. These include Omics technologies, Systems and synthetic biology. It will illustrate how such integration can lead to increased efficiency, enhanced product quality & new market opportunities that benefit people and the planet.
Show more

Users also downloaded

Showing related downloaded files

No results found.