Výsledky vyhledávání

Akademický článek

High-throughput image-based plant stand count estimation using convolutional neural networks.

Autor: Saeed Khaki, Hieu Pham, Zahra Khalilzadeh, Arezoo Masoud, Nima Safaei, Ye Han, Wade Kent, Lizhi Wang

Publikováno v: PLoS ONE, Vol 17, Iss 7, p e0268762 (2022)

The landscape of farming and plant breeding is rapidly transforming due to the complex requirements of our world. The explosion of collectible data has started a revolution in agriculture to the point where innovation must occur. To a commercial orga

Externí odkaz: https://doaj.org/article/1f5802f3e6154876aeb97e7cd2e794fa

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Convolutional Neural Networks for Image-Based Corn Kernel Detection and Counting

Autor: Saeed Khaki, Hieu Pham, Ye Han, Andy Kuhl, Wade Kent, Lizhi Wang

Publikováno v: Sensors, Vol 20, Iss 9, p 2721 (2020)

Precise in-season corn grain yield estimates enable farmers to make real-time accurate harvest and grain marketing decisions minimizing possible losses of profitability. A well developed corn ear can have up to 800 kernels, but manually counting the

Externí odkaz: https://doaj.org/article/406297b901244f1fba89aa7dd3b0285b

Zobrazit plný text záznamu

Plný text ve formátu HTML

High-throughput image-based plant stand count estimation using convolutional neural networks

Autor: Saeed Khaki, Hieu Pham, Zahra Khalilzadeh, Arezoo Masoud, Nima Safaei, Ye Han, Wade Kent, Lizhi Wang

Publikováno v: PloS one. 17(7)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aece4aabcd7e490ed8c388bfe998220d
https://pubmed.ncbi.nlm.nih.gov/35901120

Zobrazit plný text záznamu

Convolutional Neural Networks for Image-based Corn Kernel Detection and Counting

Autor: Ye Han, Lizhi Wang, Wade Kent, Saeed Khaki, Hieu Pham, Andy Kuhl

Publikováno v: Sensors, Vol 20, Iss 2721, p 2721 (2020)
Sensors
Volume 20
Issue 9
Sensors (Basel, Switzerland)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3f7f0adb2e0eb1ff60827324e63b0b9

Zobrazit plný text záznamu

High-Throughput Image-Based Plant Stand Count Estimation Using Convolutional Neural Networks

Autor: Hieu Pham, Saeed Khaki, Lizhi Wang, Ye Han, Wade Kent

The future landscape of modern farming and plant breeding is rapidly changing due to the complex needs of our society. The explosion of collectable data has started a revolution in agriculture to the point where innovation must occur. To a commercial

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2289bd784dd899f130e007e0cbc155d

Zobrazit plný text záznamu

DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation

Autor: Ye Han, Wade Kent, Saeed Khaki, Lizhi Wang, Andy Kuhl, Hieu Pham

The success of modern farming and plant breeding relies on accurate and efficient collection of data. For a commercial organization that manages large amounts of crops, collecting accurate and consistent data is a bottleneck. Due to limited time and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0d14940938930748deccf3026d776fa

Zobrazit plný text záznamu