Показать сокращенную информацию
A Review of Artificial Intelligence Based Research Results in Agriculture and Livestock Industry
dc.contributor.advisor | Li, B. | |
dc.contributor.author | Lu, S. | |
dc.contributor.author | Du, X. | |
dc.contributor.author | Zhouli, Y. | |
dc.contributor.author | Kou, Y. | |
dc.coverage.spatial | Гомель | ru_RU |
dc.date.accessioned | 2023-11-03T12:06:38Z | |
dc.date.available | 2023-11-03T12:06:38Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | A Review of Artificial Intelligence Based Research Results in Agriculture and Livestock Industry / S. Lu [и др.] ; науч. рук. B. Li // Исследования и разработки в области машиностроения, энергетики и управления : материалы XXIII Междунар. науч.-техн. конф. студентов, аспирантов и молодых ученых, Гомель, 27–28 апр. 2023 г. : в 2 ч. Ч. 2 / М-во образования Респ. Беларусь, Гомел. гос. техн. ун-т им. П. О. Сухого ; под общ. ред. А. А. Бойко. – Гомель : ГГТУ им. П. О. Сухого, 2023. – C. 90-92. | ru_RU |
dc.identifier.uri | https://elib.gstu.by/handle/220612/29135 | |
dc.description.abstract | In recent years, China's agricultural and animal husbandry industry has gradually developed towards scale and intelligence, a process that cannot be achieved without the progress and implementation of scientific research. This article takes the Grassland Animal Husbandry Traceability Big Data Inner Mongolia Autonomous Region Engineering Laboratory of Inner Mongolia University of Science and Technology as an example, and introduces four research results related to agriculture and animal husbandry in this laboratory. | ru_RU |
dc.language.iso | en | ru_RU |
dc.publisher | ГГТУ им. П.О. Сухого | ru_RU |
dc.subject | Deep learning | ru_RU |
dc.subject | Grass production prediction | ru_RU |
dc.subject | Livestock weighing | ru_RU |
dc.subject | Individual livestock identification | ru_RU |
dc.title | A Review of Artificial Intelligence Based Research Results in Agriculture and Livestock Industry | ru_RU |
dc.type | Article | ru_RU |