Proceedings :: International Society of Precision Agriculture

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Kinast, S

Koppelman, G

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Authors

Bonfil, D.J

Shapira, U

Karnieli, A

Herrmann, I

Kinast, S

Koppelman, G

Fulton, J.P

Khanal, S

Berger-Wolf, T

Topics

Remote Sensing Applications in Precision Agriculture

Precision Dairy and Livestock Management

Type

Poster

Year

2012

2024

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Filter results2 paper(s) found.
1. Ground Level Hyperspectral Imagery For Weeds Detection In Wheat Fields Weeds are a severe pest in agriculture resulting in extensive yield loss. Applying precise weed control has economical as well as environmental benefits. Combining remote sensing tools and techniques with the concept of precision agriculture has the potential to automatically locate and identify weeds in order to allow precise control. The objective of the current work is to detect annual... D.J. Bonfil, U. Shapira, A. Karnieli, I. Herrmann, S. Kinast Download paper
2. Utilizing Image-based Artificial Intelligence for Grading Bovine Oocytes For years, proper oocyte selection has been carried out with the precision of a lab technician’s eyes. The classification of oocytes using image-based artificial intelligence is a new technology that IVF lab technicians, cattle genetics companies, and veterinarians can utilize. Via the aspiration of the follicles on a cow’s ovaries, oocytes are able to be collected. Once oocytes are obtained from the ovaries of a cow, they are sent to an IVF lab to be cleaned and evaluated by a lab... G. Koppelman, J.P. Fulton, S. Khanal, T. Berger-wolf Download paper

Filter results2 paper(s) found.

1. Ground Level Hyperspectral Imagery For Weeds Detection In Wheat Fields

Weeds are a severe pest in agriculture resulting in extensive yield loss. Applying precise weed control has economical as well as environmental benefits. Combining remote sensing tools and techniques with the concept of precision agriculture has the potential to automatically locate and identify weeds in order to allow precise control. The objective of the current work is to detect annual... D.J. Bonfil, U. Shapira, A. Karnieli, I. Herrmann, S. Kinast

Download paper

2. Utilizing Image-based Artificial Intelligence for Grading Bovine Oocytes

For years, proper oocyte selection has been carried out with the precision of a lab technician’s eyes. The classification of oocytes using image-based artificial intelligence is a new technology that IVF lab technicians, cattle genetics companies, and veterinarians can utilize. Via the aspiration of the follicles on a cow’s ovaries, oocytes are able to be collected. Once oocytes are obtained from the ovaries of a cow, they are sent to an IVF lab to be cleaned and evaluated by a lab... G. Koppelman, J.P. Fulton, S. Khanal, T. Berger-wolf

Download paper