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  1. Article ; Online: Novel foods for human and planetary health.

    Tzachor, Asaf

    Nature food

    2022  Volume 3, Issue 4, Page(s) 247–248

    Language English
    Publishing date 2022-09-19
    Publishing country England
    Document type Journal Article
    ISSN 2662-1355
    ISSN (online) 2662-1355
    DOI 10.1038/s43016-022-00492-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: Artificial intelligence for agricultural supply chain risk management

    Tzachor, Asaf

    Preliminary prioritizations and constraints for the deployment of AI in food chains assessed by CGIAR scientists

    2020  

    Abstract: This paper seeks to propose priorities and support the integration of artificial intelligence (AI) in agricultural supply chains for the next ten years (2020-2030), with the aim of reducing supply chain vulnerabilities and contribute to global food ... ...

    Abstract This paper seeks to propose priorities and support the integration of artificial intelligence (AI) in agricultural supply chains for the next ten years (2020-2030), with the aim of reducing supply chain vulnerabilities and contribute to global food security. Qualitative interviews with food chains and food security specialists from the FAO, the World Bank, CGIAR, WFP and the University of Cambridge, and an exploratory quantitative survey of 72 CGIAR scientists and researchers are used to derive integrated assessments of the vulnerability of different phases of supply chains and the ease of AI adoption and deployment in these phases. The integrated assessments are structured across food chains in developed and developing regions. The research shows that respondents expect the vulnerability to risks of all but one supply chain phases to increase over the next ten years. Importantly, where the integration of AI will be most desirable, in highly vulnerable supply chain phases in developing countries, the potential for AI integration is estimate to be limited.
    Keywords artificial intelligence ; agriculture ; supply chains ; supply change management ; risk factors ; food security
    Language English
    Publishing date 2020-06-08T08:07:45Z
    Publisher CGIAR Big Data Platform
    Publishing country fr
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online: Artificial intelligence for agricultural supply chain risk management

    Tzachor, Asaf

    Constraints and potentials

    2020  

    Abstract: Supply chains of staple crops, in developed and developing regions, are vulnerable to an array of disturbances and disruptions. These include biotic, abiotic and institutional risk factors. Artificial intelligence (AI) systems have the potential to ... ...

    Abstract Supply chains of staple crops, in developed and developing regions, are vulnerable to an array of disturbances and disruptions. These include biotic, abiotic and institutional risk factors. Artificial intelligence (AI) systems have the potential to mitigate some of these vulnerabilities across supply chains, and thereby improve the state of global food security. However, the particular properties of each supply chain phase, from "the farm to the fork," might suggest that some phases are more vulnerable to risks than others. Furthermore, the social circumstances and technological environment of each phase may indicate that several phases of the supply chains will be more receptive to AI adoption and deployment than others. This research paper seeks to test these assumptions to inform the integration of AI in agricultural supply chains. It employs a supply chain risk management approach (SCRM) and draws on a mix-methods research design. In the qualitative component of the research, interviews are conducted with agricultural supply chain and food security experts from the Food and Agricultural Organization of the UN (FAO), the World Bank, CGIAR, the World Food Program (WFP) and the University of Cambridge. In the quantitative component of the paper, seventy-two scientists and researchers in the domains of digital agriculture, big data in agriculture and agricultural supply chains are surveyed. The survey is used to generate assessments of the vulnerability of different phases of supply chains to biotic, abiotic and institutional risks, and the ease of AI adoption and deployment in these phases. The findings show that respondents expect the vulnerability to risks of all but one supply chain phases to increase over the next ten years. Importantly, where the integration of AI systems will be most desirable, in highly vulnerable supply chain phases in developing countries, the potential for AI integration is likely to be limited. To the best of our knowledge, the methodical examination of AI through the prism of ...
    Keywords artificial intelligence ; agriculture ; supply chains ; supply change management ; risk factors ; food security ; methods
    Publishing date 2020-07-07T10:20:29Z
    Publishing country fr
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Author Correction

    Asaf Tzachor / Ofir Hendel / Catherine E. Richards

    npj Ocean Sustainability, Vol 2, Iss 1, Pp 1-

    Digital twins: a stepping stone to achieve ocean sustainability?

    2023  Volume 1

    Keywords Oceanography ; GC1-1581 ; Environmental sciences ; GE1-350
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Transforming agrifood production systems and supply chains with digital twins.

    Tzachor, Asaf / Richards, Catherine E / Jeen, Scott

    NPJ science of food

    2022  Volume 6, Issue 1, Page(s) 47

    Language English
    Publishing date 2022-10-10
    Publishing country England
    Document type Journal Article
    ISSN 2396-8370
    ISSN (online) 2396-8370
    DOI 10.1038/s41538-022-00162-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Digital twins

    Asaf Tzachor / Ofir Hendel / Catherine E. Richards

    npj Ocean Sustainability, Vol 2, Iss 1, Pp 1-

    a stepping stone to achieve ocean sustainability?

    2023  Volume 8

    Abstract: Abstract Digital twins, a nascent yet potent computer technology, can substantially advance sustainable ocean management by mitigating overfishing and habitat degradation, modeling, and preventing marine pollution and supporting climate adaptation by ... ...

    Abstract Abstract Digital twins, a nascent yet potent computer technology, can substantially advance sustainable ocean management by mitigating overfishing and habitat degradation, modeling, and preventing marine pollution and supporting climate adaptation by safely assessing marine geoengineering alternatives. Concomitantly, digital twins may facilitate multi-party marine spatial planning. However, the potential of this emerging technology for such purposes is underexplored and yet to be realized, with just one notable project entitled European Digital Twins of the Ocean. Here, we consider the promise of digital twins for ocean sustainability across four thematic areas. We further emphasize implementation barriers, namely, data availability and quality, compatibility, and cost. Regarding oceanic data availability, we note the issues of spatial coverage, depth coverage, temporal resolution, and limited data sharing, underpinned, among other factors, by insufficient knowledge of marine processes. Inspired by the prospects of digital twins, and informed by impending difficulties, we propose to improve the availability and quality of data about the oceans, to take measures to ensure data standardization, and to prioritize implementation in areas of high conservation value by following the ‘nested enterprise’ approach.
    Keywords Oceanography ; GC1-1581 ; Environmental sciences ; GE1-350
    Subject code 333
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article: The Future of Feed: Integrating Technologies to Decouple Feed Production from Environmental Impacts

    Tzachor, Asaf

    Industrial biotechnology. 2019 Apr. 01, v. 15, no. 2

    2019  

    Abstract: Population growth, an expanding middle-class, and a global shift in dietary preferences have driven an enduring demand for animal products. Since animal products are playing a vital role in human diets, their consumption is predicted to increase further. ...

    Abstract Population growth, an expanding middle-class, and a global shift in dietary preferences have driven an enduring demand for animal products. Since animal products are playing a vital role in human diets, their consumption is predicted to increase further. However, the great dependency of animal husbandry on global staple feed crop soybean; the environmental consequences of soybean production; and barriers for soy cropland expansion cast doubt on food system sustainability. The need to mitigate future demand for soy with other feed sources of similar nutritional profile, and thereby decouple food and feed production from ecological pressures, is compelling. Yet, the literature and science of sustainable agriculture is one of incremental improvements, featuring primarily, crop production intensification. A different, more profound approach to the design of feed systems is required to ensure sustainable food security. The question arises if alternative technologies exist to support such a design. This paper explores a particular novel configuration of four advanced technologies recently deployed in the region of Hengill, Iceland: light-emitting diode systems, advanced indoor photobioreactors, atmospheric carbon capture technology, and geothermal energy technology. In situ system analysis and data triangulation with scientific literature and data from independent sources illustrate the potential of these integrated technologies to produce algal-based animal feed. The analysis suggests that a highly sustainable soybean equivalent is technically attainable for feed purposes. The integrated system requires less than 1% of arable land and fresh water compared with soybean cultivation and is carbon negative. In addition, it provides a pesticide- and herbicide-free cultivation platform. This new configuration provides one pathway for the future of feed.
    Keywords animal husbandry ; animal products ; arable soils ; carbon ; crop production ; cropland ; diet ; environmental impact ; feeds ; food security ; freshwater ; geothermal energy ; humans ; light emitting diodes ; nutrient content ; pesticides ; photobioreactors ; population growth ; socioeconomic status ; soybeans ; sustainable agriculture ; Iceland
    Language English
    Dates of publication 2019-0401
    Size p. 52-62.
    Publishing place Mary Ann Liebert, Inc.
    Document type Article
    ISSN 1931-8421
    DOI 10.1089/ind.2019.29162.atz
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: Global catastrophic risk from lower magnitude volcanic eruptions.

    Mani, Lara / Tzachor, Asaf / Cole, Paul

    Nature communications

    2021  Volume 12, Issue 1, Page(s) 4756

    Language English
    Publishing date 2021-08-06
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-021-25021-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Correction to: Environmental Impacts of Large-Scale Spirulina (Arthrospira platensis) Production in Hellisheidi Geothermal Park Iceland: Life Cycle Assessment.

    Tzachor, Asaf / Smidt-Jensen, Asger / Ramel, Alfons / Geirsdóttir, Margrét

    Marine biotechnology (New York, N.Y.)

    2022  Volume 24, Issue 6, Page(s) 1177

    Language English
    Publishing date 2022-10-12
    Publishing country United States
    Document type Published Erratum
    ZDB-ID 1479877-3
    ISSN 1436-2236 ; 1436-2228
    ISSN (online) 1436-2236
    ISSN 1436-2228
    DOI 10.1007/s10126-022-10173-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Future foods for risk-resilient diets.

    Tzachor, Asaf / Richards, Catherine E / Holt, Lauren

    Nature food

    2021  Volume 2, Issue 5, Page(s) 326–329

    Abstract: Future foods, such as microalgae, mycoprotein and mealworm, have been suggested as nutritious and sustainable dietary options. Here we consider one of the most profound, yet neglected, benefits of future foods farming systems-their potential to provide ... ...

    Abstract Future foods, such as microalgae, mycoprotein and mealworm, have been suggested as nutritious and sustainable dietary options. Here we consider one of the most profound, yet neglected, benefits of future foods farming systems-their potential to provide essential nutrition in the face of systemic disturbances-and discuss major barriers to realizing this prospect.
    Language English
    Publishing date 2021-05-13
    Publishing country England
    Document type Journal Article ; Review
    ISSN 2662-1355
    ISSN (online) 2662-1355
    DOI 10.1038/s43016-021-00269-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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