Design and fabrication of an intelligent control system for determination of watering time for turfgrass plant using computer vision system and artificial neural network

Author:

Nadafzadeh Maryam,Abdanan Mehdizadeh SamanORCID

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences

Reference57 articles.

1. Abdanan Mehdizadeh, S., & Banhazi, T. M. (2015). Evaluating droplet distribution of spray-nozzles for dust reduction in livestock buildings using machine vision. International Journal of Agricultural and Biological Engineering, 8(5), 58–64.

2. Abdanan Mehdizadeh, S., Minaei, S., Hancock, N. H., & Torshizi, M. A. K. (2014). An intelligent system for egg quality classification based on visible-infrared transmittance spectroscopy. Information Processing in Agriculture, 1(2), 105–114.

3. Abdanan Mehdizadeh, S., Nouri, M., Soltani Kazemi, M., & Amraei, S. (2017). Non-destructive investigation of the quality factors in citrus juice during storage using digital image processing. Iranian Food Science and Technology Research Journal, 2(42), 262–272 (In Persian).

4. Abdolahzare, Z., & Abdanan Mehdizadeh, S. (2014). Study of seed spacing uniformity and seed falling dynamics of a pneumatic planter under laboratory conditions using machine vision. Journal of Researches in Mechanics of Agricultural Machinery, 3(2), 19–28 (In Persian).

5. Ahmadzadeh Gharah Gwiz, K., Mirlatifi, S. M., & Mohammadi, K. (2010). Comparison of artificial intelligence systems (ANN & ANFIS) for reference evapotranspiration estimation in the extreme arid regions of Iran. Journal of Water and Soil, 24(4), 679–689 (In Persian).

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