| 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 |
