IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i18p7303-d409602.html
   My bibliography  Save this article

A Sustainability Assessment of the Greenseeker N Management Tool: A Lysimetric Experiment on Barley

Author

Listed:
  • Carolina Fabbri

    (Department of Agriculture, Food, Environment and Forestry (DAGRI)—University of Florence, Piazzale delle Cascine, 18-50144 Florence, Italy)

  • Marco Napoli

    (Department of Agriculture, Food, Environment and Forestry (DAGRI)—University of Florence, Piazzale delle Cascine, 18-50144 Florence, Italy)

  • Leonardo Verdi

    (Department of Agriculture, Food, Environment and Forestry (DAGRI)—University of Florence, Piazzale delle Cascine, 18-50144 Florence, Italy)

  • Marco Mancini

    (Department of Agriculture, Food, Environment and Forestry (DAGRI)—University of Florence, Piazzale delle Cascine, 18-50144 Florence, Italy)

  • Simone Orlandini

    (Department of Agriculture, Food, Environment and Forestry (DAGRI)—University of Florence, Piazzale delle Cascine, 18-50144 Florence, Italy)

  • Anna Dalla Marta

    (Department of Agriculture, Food, Environment and Forestry (DAGRI)—University of Florence, Piazzale delle Cascine, 18-50144 Florence, Italy)

Abstract

A preliminary study was conducted to analyze the sustainability of barley production through: (i) investigating sensor-based nitrogen (N) application on barley performance, compared with conventional N management (CT); (ii) assessing the potential of the Normalized Difference Vegetation Index (NDVI) at different growth stages for within-season predictions of crop parameters; and (iii) evaluating sensor-based fertilization benefits in the form of greenhouse gasses mitigation. Barley was grown under CT, sensor-based management (RF) and with no N fertilization (Control). NDVI measurements and RF fertilization were performed using a GreenSeeker™ 505 hand-held optical sensor. Gas emissions were measured using a static chamber method with a portable gas analyzer. Results showed that barley yield was not statistically different under RF and CF, while they both differed significantly from Control. Highly significant positive correlations were observed between NDVI and production parameters at harvesting from the middle of stem elongation to the medium milk stage across treatments. Our findings suggest that RF is able to decrease CO 2 emission in comparison with CF. The relationship between N fertilization and CH 4 emission showed high variability. These preliminary results provide an indication of the benefits achieved using a simple proximal sensing methodology to support N fertilization.

Suggested Citation

  • Carolina Fabbri & Marco Napoli & Leonardo Verdi & Marco Mancini & Simone Orlandini & Anna Dalla Marta, 2020. "A Sustainability Assessment of the Greenseeker N Management Tool: A Lysimetric Experiment on Barley," Sustainability, MDPI, vol. 12(18), pages 1-16, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7303-:d:409602
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/18/7303/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/18/7303/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Athanasios Balafoutis & Bert Beck & Spyros Fountas & Jurgen Vangeyte & Tamme Van der Wal & Iria Soto & Manuel Gómez-Barbero & Andrew Barnes & Vera Eory, 2017. "Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics," Sustainability, MDPI, vol. 9(8), pages 1-28, July.
    2. Marta Aranguren & Ander Castellón & Ana Aizpurua, 2020. "Crop Sensor Based Non-destructive Estimation of Nitrogen Nutritional Status, Yield, and Grain Protein Content in Wheat," Agriculture, MDPI, vol. 10(5), pages 1-22, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kapila Shekhawat & Vinod K. Singh & Sanjay Singh Rathore & Rishi Raj & T. K. Das, 2021. "Achieving Sustainability in Food Systems: Addressing Changing Climate through Real Time Nitrogen and Weed Management in a Conservation Agriculture-Based Maize–Wheat System," Sustainability, MDPI, vol. 13(9), pages 1-19, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marco Ammoniaci & Simon-Paolo Kartsiotis & Rita Perria & Paolo Storchi, 2021. "State of the Art of Monitoring Technologies and Data Processing for Precision Viticulture," Agriculture, MDPI, vol. 11(3), pages 1-20, February.
    2. Thomas M. Koutsos & Georgios C. Menexes & Andreas P. Mamolos, 2021. "The Use of Crop Yield Autocorrelation Data as a Sustainable Approach to Adjust Agronomic Inputs," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    3. Xiuli Zhang & Yikun Pei & Yong Chen & Qianglong Song & Peilin Zhou & Yueqing Xia & Xiaochan Liu, 2022. "The Design and Experiment of Vertical Variable Cavity Base Fertilizer Fertilizing Apparatus," Agriculture, MDPI, vol. 12(11), pages 1-15, October.
    4. Vecchio, Yari & De Rosa, Marcello & Adinolfi, Felice & Bartoli, Luca & Masi, Margherita, 2020. "Adoption of precision farming tools: A context-related analysis," Land Use Policy, Elsevier, vol. 94(C).
    5. Pomi Shahbaz & Shamsheer ul Haq & Azhar Abbas & Zahira Batool & Bader Alhafi Alotaibi & Roshan K. Nayak, 2022. "Adoption of Climate Smart Agricultural Practices through Women Involvement in Decision Making Process: Exploring the Role of Empowerment and Innovativeness," Agriculture, MDPI, vol. 12(8), pages 1-16, August.
    6. Luís Silva & Luís Alcino Conceição & Fernando Cebola Lidon & Benvindo Maçãs, 2023. "Remote Monitoring of Crop Nitrogen Nutrition to Adjust Crop Models: A Review," Agriculture, MDPI, vol. 13(4), pages 1-23, April.
    7. Adamashvili Nino & Fiore Mariantonietta & Contò Francesco & La Sala Piermichele, 2020. "Ecosystem for Successful Agriculture. Collaborative Approach as a Driver for Agricultural Development," European Countryside, Sciendo, vol. 12(2), pages 242-256, June.
    8. Zhao Xue & Jun Fu & Qiankun Fu & Xiaokang Li & Zhi Chen, 2023. "Modeling and Optimizing the Performance of Green Forage Maize Harvester Header Using a Combined Response Surface Methodology–Artificial Neural Network Approach," Agriculture, MDPI, vol. 13(10), pages 1-16, September.
    9. Stefania Troiano & Matteo Carzedda & Francesco Marangon, 2023. "Better richer than environmentally friendly? Describing preferences toward and factors affecting precision agriculture adoption in Italy," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-15, December.
    10. Balaine, Lorraine & Dillon, Emma J. & Läpple, Doris & Lynch, John, 2020. "Can technology help achieve sustainable intensification? Evidence from milk recording on Irish dairy farms," Land Use Policy, Elsevier, vol. 92(C).
    11. J Blasch & B van der Kroon & P van Beukering & R Munster & S Fabiani & P Nino & S Vanino, 2022. "Farmer preferences for adopting precision farming technologies: a case study from Italy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 33-81.
    12. Solinas, Stefania & Tiloca, Maria Teresa & Deligios, Paola A. & Cossu, Marco & Ledda, Luigi, 2021. "Carbon footprints and social carbon cost assessments in a perennial energy crop system: A comparison of fertilizer management practices in a Mediterranean area," Agricultural Systems, Elsevier, vol. 186(C).
    13. Margherita Masi & Marcello Rosa & Yari Vecchio & Luca Bartoli & Felice Adinolfi, 2022. "The long way to innovation adoption: insights from precision agriculture," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-17, December.
    14. Rizwana Yasmeen & Ihtsham Ul Haq Padda & Xing Yao & Wasi Ul Hassan Shah & Muhammad Hafeez, 2022. "Agriculture, forestry, and environmental sustainability: the role of institutions," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8722-8746, June.
    15. Yusuf Nadi Karatay & Andreas Meyer-Aurich, 2018. "A Model Approach for Yield-Zone-Specific Cost Estimation of Greenhouse Gas Mitigation by Nitrogen Fertilizer Reduction," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    16. Robert Finger, 2023. "Digital innovations for sustainable and resilient agricultural systems," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(4), pages 1277-1309.
    17. Veronika Hannus & Johannes Sauer, 2021. "Understanding Farmers’ Intention to Use a Sustainability Standard: The Role of Economic Rewards, Knowledge, and Ease of Use," Sustainability, MDPI, vol. 13(19), pages 1-21, September.
    18. Prabhu Pingali & Mathew Abraham, 2022. "Food systems transformation in Asia – A brief economic history," Agricultural Economics, International Association of Agricultural Economists, vol. 53(6), pages 895-910, November.
    19. Wang, Sun Ling & Olver, Ryan & Bonin, Daniel & Dodson, Laura L. & Williams, Ryan C., 2022. "Climate change, technology adoption, and field crop farm productivity in the United States: Short-term vs. long-term," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322595, Agricultural and Applied Economics Association.
    20. Gackstetter, David & von Bloh, Malte & Hannus, Veronika & Meyer, Sebastian T. & Weisser, Wolfgang & Luksch, Claudia & Asseng, Senthold, 2023. "Autonomous field management – An enabler of sustainable future in agriculture," Agricultural Systems, Elsevier, vol. 206(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7303-:d:409602. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.