期刊名：AgriEngineering

期刊主页：https://www.mdpi.com/journal/agriengineering

AgriEngineering（ISSN 2624-7402）聚焦农业工程全领域创新，涵盖智能农机装备、精准农业技术、农业物联网、农业生物质技术等方向，刊发兼具理论深度与应用价值的研究成果，是连接农业技术研发与产业实践的核心学术平台，助力全球农业可持续与智能化发展。这一合集是AgriEngineering在 2024 年发表的高被引论文。期刊所有文章均为开放获取，您可以免费且无限制地阅读全部出版内容。

1. Alpha-EIOU-YOLOv8: An Improved Algorithm for Rice Leaf Disease Detection

Alpha-EIOU-YOLOv8：一种改进的水稻叶片病害检测算法

https://doi.org/10.3390/agriengineering6010018

2. Advancing Livestock Technology: Intelligent Systemization for Enhanced Productivity, Welfare, and Sustainability

推进畜牧技术：以智能系统化提升生产力、福利水平与可持续性

https://doi.org/10.3390/agriengineering6020084

3. Research on Obtaining Pepper Phenotypic Parameters Based on Improved YOLOX Algorithm

基于改进 YOLOX 算法的辣椒表型参数获取研究

https://doi.org/10.3390/agriengineering7070209

4. Enhanced Deep Learning Architecture for Rapid and Accurate Tomato Plant Disease Diagnosis

用于快速准确诊断番茄植株病害的增强型深度学习架构

https://doi.org/10.3390/agriengineering6010023

5. Optimizing Crop Yield Estimation through Geospatial Technology: A Comparative Analysis of a Semi-Physical Model, Crop Simulation, and Machine Learning Algorithms

基于地理空间技术优化作物产量估算：半物理模型、作物模拟与机器学习算法的对比分析

https://doi.org/10.3390/agriengineering6010045

6. Advances in Sustainable Crop Management: Integrating Precision Agriculture and Proximal Sensing

可持续作物管理研究进展：精准农业与近地传感技术的融合

https://doi.org/10.3390/agriengineering6030177

7. A Performance Comparison of CNN Models for Bean Phenology Classification Using Transfer Learning Techniques

基于迁移学习的卷积神经网络（CNN）模型在豆类物候分类中的性能对比

https://doi.org/10.3390/agriengineering6010048

8. Integrating Satellite and UAV Technologies for Maize Plant Height Estimation Using Advanced Machine Learning

基于先进机器学习的卫星与无人机技术融合：玉米株高估算研究

https://doi.org/10.3390/agriengineering6010002

9. Image Analysis Artificial Intelligence Technologies for Plant Phenotyping: Current State of the Art

植物表型分析中的图像分析人工智能技术：研究现状与前沿

https://doi.org/10.3390/agriengineering6030193

10. AI-Driven Insect Detection, Real-Time Monitoring, and Population Forecasting in Greenhouses

人工智能驱动的温室昆虫检测、实时监测与种群预测

https://doi.org/10.3390/agriengineering7020029

AgriEngineering期刊介绍

主编：Dr. Mathew G. Pelletier, Retired Scientist from Agricultural Research Service, United States Department of Agriculture, Lubbock, TX, USA

期刊聚焦聚焦农业工程及交叉领域，下设8个专题，涉及精准农业、农业人工智能与计算机技术、采前采后工程、农业遥感、畜牧技术、农业机械与设备、灌溉工程、农业生物工程与技术等方向。

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