A Multi-Granularity Gated Image-Level Supervised Network (MGG-ISCNet) for Spike Counting in Agropyron cristatum (L.) Gaertn
Year: 2025
Type: article
Language: en
Topic: Smart Agriculture and AI
Authors and affiliations:
raw_author_name: Lihua Guan
raw_affiliation_strings: Key Laboratory of Grassland Resources (IMAU), Ministry of Education, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot 010021, China
raw_author_name: Ziyu Ding
raw_affiliation_strings: National Center of Pratacultural Technology Innovation (Under Preparation), Hohhot 010000, China
Shaanxi Key Laboratory of Agricultural Information Sensing and Intelligent Service, College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China
raw_author_name: Meng’an Song
raw_affiliation_strings: National Center of Pratacultural Technology Innovation (Under Preparation), Hohhot 010000, China
Shaanxi Key Laboratory of Agricultural Information Sensing and Intelligent Service, College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China
raw_author_name: Xinyuan He
raw_affiliation_strings: National Center of Pratacultural Technology Innovation (Under Preparation), Hohhot 010000, China
Shaanxi Key Laboratory of Agricultural Information Sensing and Intelligent Service, College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China
raw_author_name: Qiqi Wang
raw_affiliation_strings: Key Laboratory of Grassland Resources (IMAU), Ministry of Education, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot 010021, China
National Center of Pratacultural Technology Innovation (Under Preparation), Hohhot 010000, China
raw_author_name: Ruopu Zan
raw_affiliation_strings: National Center of Pratacultural Technology Innovation (Under Preparation), Hohhot 010000, China
Shaanxi Key Laboratory of Agricultural Information Sensing and Intelligent Service, College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China
raw_author_name: Zhangru Gao
raw_affiliation_strings: National Center of Pratacultural Technology Innovation (Under Preparation), Hohhot 010000, China
Shaanxi Key Laboratory of Agricultural Information Sensing and Intelligent Service, College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China
raw_author_name: Xiang Li
raw_affiliation_strings: Shaanxi Key Laboratory of Agricultural Information Sensing and Intelligent Service, College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China
raw_author_name: Yan Zhao
raw_affiliation_strings: Key Laboratory of Grassland Resources (IMAU), Ministry of Education, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot 010021, China
National Center of Pratacultural Technology Innovation (Under Preparation), Hohhot 010000, China
raw_author_name: Dongyan Zhang
raw_affiliation_strings: National Center of Pratacultural Technology Innovation (Under Preparation), Hohhot 010000, China
Shaanxi Key Laboratory of Agricultural Information Sensing and Intelligent Service, College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China