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Spatial suitability assessment for vineyard site selection based on fuzzy logic

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Abstract

Developing a sustainable agricultural production system requires knowledge of the climate, soil, and topography of the area of interest. This is especially relevant for wine grape (Vitis vinefera L.) production. The main objective of this study was the development of a comprehensive system to aid in the selection of suitable areas for grapevine cultivation. Included in this system were several bioclimatic indices, such as Growing Degree Days (GDD), Frost Free Days (FFD), and the Huglin Index (HI) calculated over a period of 30 years using daily weather data obtained from the University of Idaho’s Gridded Surface Meteorological (UI GSM) dataset. Soil data and topographical data were also included in the system. The bioclimatic indices, soil, and topographic data were then transformed using fuzzy logic, and suitability maps with scores ranging from 0 to 1 were developed. The final vineyard-potential scores were obtained by combining the soil, weather, and topographic potential scores with a range from 0 to 1, where 0 pertained to non-suitable areas and 1 referred to optimal sites. The maps were evaluated by comparing the range of suitability scores of existing vineyards in Washington State. The evaluation indicated that 97% of the established vineyards have a vineyard-potential score that ranges from 0.8 to 1. The results of this study revealed that 11% of the total study area had a high potential for wine grape production. This study was able to successfully employ fuzzy logic to help decision-makers, growers, and others with conducting a precise land assessment for wine grape production.

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Acknowledgements

This research was partially supported by Washington State University’s AgWeatherNet Program, the Northwest Center for Small Fruits Research, and an IBM Fellowship awarded to the corresponding author. The authors would like to thank the United States Department of Agriculture Geospatial Gateway website for providing access to the soil and topography datasets and the University of Idaho Gridded Surface Meteorological Data (UofI METDATA) for providing access to the raw weather data that were used in this study.

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Authors and Affiliations

  1. AgWeatherNet Program, Washington State University, Prosser, WA, 99350, USA

    Golnaz Badr & Gerrit Hoogenboom

  2. Cornell Lake Erie Research and Extension Lab, Cornell University, Portland, NY, 14769, USA

    Golnaz Badr

  3. Institute for Sustainable Food Systems, University of Florida, Gainesville, FL, 32611, USA

    Gerrit Hoogenboom

  4. Department of Horticulture, Washington State University, Prosser, WA, 99350, USA

    Michelle Moyer & Markus Keller

  5. Department of Crop and Soil Sciences, Washington State University, Pullman, WA, 99163, USA

    Richard Rupp

  6. Department of Crop and Soil Sciences, Washington State University, Prosser, WA, 99350, USA

    Joan Davenport

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  1. Golnaz Badr
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Badr, G., Hoogenboom, G., Moyer, M. et al. Spatial suitability assessment for vineyard site selection based on fuzzy logic. Precision Agric 19, 1027–1048 (2018). https://doi.org/10.1007/s11119-018-9572-7

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