An autonomous navigation method for orchard rows based on a combination of an improved a-star algorithm and SVR

M Wang, J Xu, J Zhang, Y Cui - Precision Agriculture, 2024 - Springer
Autonomous robot-based orchard operations will become an alternative solution in the field
of precision agriculture. One of the keys to robotic work is to achieve autonomous navigation …

Research on Contactless Detection of Sow Backfat Thickness Based on Segmented Images with Feature Visualization

T Cao, X Li, X Liu, H Liang, H Wang, D Xu - Applied Sciences, 2024 - mdpi.com
Aiming to address the problem that the existing methods for detecting sow backfat thickness
are stressful, costly, and cannot detect in real time, this paper proposes a non-contact …

Estimating body weight in Sujiang pigs using artificial neural network, nearest neighbor, and CART algorithms: a comparative study using morphological …

M Ergin, Ö Koşkan - Tropical Animal Health and Production, 2025 - Springer
The objectives of this study were to evaluate different machine learning algorithms for
predicting body weight (BW) in Sujiang pigs using the following morphological traits: age …

Deep Learning Algorithms in Industry 5.0: A Comprehensive Experimental Study

N Shchepkina, A Chandramauli, S Ahuja… - BIO Web of …, 2024 - bio-conferences.org
This extensive experimental research provides strong empirical proof of the revolutionary
power of deep learning algorithms when integrated into Industry 5.0. Convolutional Neural …

Research on resume screening methods in corporate internet recruitment based on machine learning

X Zong, Y Li, K Feng - International Conference on Computer …, 2024 - spiedigitallibrary.org
With the development of information technology, most domestic companies mainly use
Internet recruitment methods for talent recruitment. Various Internet platforms have a large …

[PDF][PDF] BENEATH THE SKIN: BACK FAT THICKNESS IN PIGS AND ITS ROLE IN HEALTH AND PRODUCTION

R Dabas, M Kumar, S Ansari… - Bio vet innovator …, 2024 - researchgate.net
The significance of back fat thickness (BFT) in pigs as a key indicator of nutritional status,
metabolic health, reproductive performance, and overall well-being in commercial swine …

기계학습모델을이용한실험돈사내온도예측

서은완, 강대영, 전성우, 니바스, 김대현… - 농업생명과학 …, 2024 - db.koreascholar.com
본 연구는 돼지 간 거리 (PD), 돈사 내 상대 습도 (RRH), 돈사 내 이산화탄소 (RCO2) 세 가지
변수를 사용하여, 네 개의 데이터 세트를 구성하고, 이를 다중 선형 회귀 (MLR), 서포트 벡터 …