Effect of education on ability of AI professionals and herd-owner inseminators to detect cows not in oestrus and its relation with progesterone concentration on day of re-insemination

Vartia, K.; Taponen, Juhani; Heikkinen, Jouni; Lindeberg, Heli

doi:10.1016/j.theriogenology.2017.07.007

Search citation statements

Order By: Relevance

Paper Sections

Select...

Discussion1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2020

2021

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This variation was found to be reflected as a tendency for higher P/AI in the presented study. It is well known that the experience of the technician influences the fertility (Vartia, Taponen, Heikkinen, & Lindeberg, 2017). The effect of technicians on pregnancy rate has more pronounced than the effect of sire in a herd level (Abdel‐Azim, 2010).…”

Section: Discussionmentioning

confidence: 99%

Effect of delaying the time of insemination with sex‐sorted semen on pregnancy rate in Holstein heifers

Güner

Ertürk

Yılmazbaş-Meci̇toğlu

et al. 2020

Reprod Domestic Animals

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Effect of delaying the time of insemination with sex‐sorted semen on pregnancy rate in Holstein heifers

Güner

Ertürk

Yılmazbaş-Meci̇toğlu

et al. 2020

Reprod Domestic Animals

View full text Add to dashboard Cite

show abstract

Path Planning of Unmanned Autonomous Helicopter Based on Human-Computer Hybrid Augmented Intelligence

et al. 2021

View full text Add to dashboard Cite

Unmanned autonomous helicopter (UAH) path planning problem is an important component of the UAH mission planning system. The performance of the automatic path planner determines the quality of the UAH flight path. Aiming to produce a high-quality flight path, a path planning system is designed based on human-computer hybrid augmented intelligence framework for the UAH in this paper. Firstly, an improved artificial bee colony (I-ABC) algorithm is proposed based on the dynamic evaluation selection strategy and the complex optimization method. In the I-ABC algorithm, the following way of on-looker bees and the update strategy of nectar source are optimized to accelerate the convergence rate and retain the exploration ability of the population. In addition, a space clipping operation is proposed based on the attention mechanism for constructing a new spatial search area. The search time can be further reduced by the space clipping operation under the path planning result within acceptable changes. Moreover, the entire optimization process and results can be feeded back to the knowledge database by the human-computer hybrid augmented intelligence framework to guide subsequent path planning issues. Finally, the simulation results confirm that a feasible and effective flight path can be quickly generated by the UAH path planning system based on human-computer hybrid augmented intelligence.

show abstract

Effect of education on ability of AI professionals and herd-owner inseminators to detect cows not in oestrus and its relation with progesterone concentration on day of re-insemination

Cited by 2 publications

References 24 publications

Effect of delaying the time of insemination with sex‐sorted semen on pregnancy rate in Holstein heifers

Effect of delaying the time of insemination with sex‐sorted semen on pregnancy rate in Holstein heifers

Path Planning of Unmanned Autonomous Helicopter Based on Human-Computer Hybrid Augmented Intelligence

Contact Info

Product

Resources

About