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Saurette, D
Sharaf, S
Saiz-Rubio, V
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Authors
Sharaf, S
Elshafie, A
Kamel, N.N
Yousef, D.A
Saiz-Rubio, V
Diago, M
Tardaguila, J
Gutierrez, S
Rovira-Más, F
Alves, F
Saurette, D
Biswas, A
Gobezie, T.B
Topics
Modeling and Geo-statistics
Robotics, Guidance and Automation
Precision Horticulture
Type
Poster
Oral
Year
2012
2018
2022
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Filter results3 paper(s) found.

1. A High-Reliability Database-Supported Modular Precision Irrigation System

Title of Abstract:          A High-Reliability Database-Supported Modular Precision Irrigation System Authors of Abstract:     N. Kamel1, S. Sharaf1, A. El-Shafei2,... S. Sharaf, A. Elshafie, N.N. Kamel, D.A. Yousef

2. Canopy Temperature Mapping with a Vineyard Robot

The wine industry is a strategic sector in many countries worldwide. High revenues in the wine market typically result in higher investments in specialized equipment, so that producers can introduce disruptive technology for increasing grape production and quality. However, many European producers are approaching retirement age, and therefore the agricultural sector needs a way for attracting young farmers who can assure the smooth transition between generations; digital technology offers an opportunity... V. Saiz-rubio, M. Diago, J. Tardaguila, S. Gutierrez, F. Rovira-más, F. Alves

3. Digital Soil Sensing and Mapping for Crop Suitability

Soil, central to any land-based production system, determines the success of any crops. While soil for a farm or field is fixed, the crops can be selected to best fit the soil’s capability and production. Traditionally crops are selected based on farm history, knowledge, and years of trial and error to tailor the right crop to the right soil. Inherent challenges associated with this make the whole process unsustainable. Due to the consistent nature of the information collected, soil sensors... D. Saurette, A. Biswas, T.B. Gobezie