Please wait a minute...
Table of Content
Volume 6 Issue 1, 26 March 2024
A Dataset for Constructing Agricultural Knowledge Graph
CHEN Lei, ZHOU Na, ZHU PengXuan, YUAN Yuan

Improving the efficiency of agricultural production and optimizing the problems in agricultural production through information technology is crucial for the development of agriculture in China. At present, the development of informatio...

2024, 6(1):  1-8.  Doi: 10.19788/j.issn.2096-6369.100002
Abstract  |  Rich HTML |  PDF
A Dataset of Nuclear Agriculture Standards
ZHAO SuYu, ZHENG JiJia, GAO MeiXu, GUO LiLi

Nuclear agriculture is an interdisciplinary field that combines nuclear science and technology with agricultural science and technology, and it has had a profound impact on transforming and innovating traditional agriculture in China. ...

2024, 6(1):  9-13.  Doi: 10.19788/j.issn.2096-6369.100003
Abstract  |  Rich HTML |  PDF
Deep Sequencing Dataset of miRNAs in Response to Salt Stress in Apples
LIU Zhao, GAO Yuan, WANG Kun, SUN SiMiao, DAI YingZi, LU Xiang, TIAN Wen, WANG DaJiang, FENG JianRong

Soil salinization has become an important factor limiting crop yield and quality, affecting crop yields worldwide. As an important fruit crop, the harm of salt stress and the lack of salt tolerant rootstocks have become important issue...

2024, 6(1):  14-23.  Doi: 10.19788/j.issn.2096-6369.100007
Abstract  |  Rich HTML |  PDF
Spatial and Temporal Distribution of Biomass in Dense Regions of Tianshan Spruce in Xinjiang, 2002-2017
HU XiaoQi, HU Lin, CAO ShanShan, SUN Wei

Forests constitute the central part of terrestrial ecosystems, encompassing approximately 90% of the total biomass. They are responsible for over 65% of the annual carbon sequestration, playing a crucial role in maintaining global carb...

2024, 6(1):  24-32.  Doi: 10.19788/j.issn.2096-6369.100008
Abstract  |  Rich HTML |  PDF
Dataset of Nutrient Components and Its Loss of Tongling Tree Peony Seed in 2019-2020
ZHOU HuiYin, FANG ChengWu

Tree peony is an emerging oil crop that has received widespread attention in recent years. Studying the nutritional composition and loss patterns of tree peony seeds is not only a fundamental requirement for the tree peony planting and...

2024, 6(1):  33-39.  Doi: 10.19788/j.issn.2096-6369.100001
Abstract  |  Rich HTML |  PDF
Improved YOLOv3 Crop Target Detection Algorithm
GUO Bei, WANG BeiBei, ZHANG ZhiHong, WU Su, LI Peng, HU LiTing

When detecting targets in crop images, the detection accuracy of target detection algorithms can be seriously affected due to factors such as dense crop planting and poor imaging quality. In order to optimize the detection performance ...

2024, 6(1):  40-47.  Doi: 10.19788/j.issn.2096-6369.000006
Abstract  |  Rich HTML |  PDF
Estimation of Soil Conservation Value in Agro-ecosystem Based on RUSLE
YANG XinHai, JIANG HaoChen, LEI BaoJia, YAO ZhenHai, MA Chao

Taking Gongzhuling of Jilin Province as the research area, the soil conservation value of the total ecosystem and agricultural ecosystem in this area was estimated respectively by using meteorological data, land use data, digital eleva...

2024, 6(1):  48-55.  Doi: 10.19788/j.issn.2096-6369.000005
Abstract  |  Rich HTML |  PDF
Pan-spatiotemporal Feature Rice Deep Learning Extraction Based on Multi-source Data Fusion
DU JiaKuan, LI YanFei, SUN SiWen, LIU JiDong, JIANG TengDa

Traditional methods of rice phenological phase feature extraction based on time-series remote sensing images require high temporal resolution, which is difficult to meet due to imaging conditions. Due to the different environmental con...

2024, 6(1):  56-67.  Doi: 10.19788/j.issn.2096-6369.000010
Abstract  |  Rich HTML |  PDF
Development and Application of Digital Control Platform in Large- scale Beef Cattle Farm——Take the 5G digital ranch of Yangxin Yi Liyuan Halal Meat Co., Ltd as an example
ZHANG Fan, ZHOU MengTing, LIU MinZe, TANG XiangFang, XIONG BenHai

As large-scale beef cattle facilities become more and more common in China, sophisticated and even intelligent management of cattle has gained prominence. In the meantime, the Internet of Things, big data, artificial intelligence (AI) ...

2024, 6(1):  68-81.  Doi: 10.19788/j.issn.2096-6369.000009
Abstract  |  Rich HTML |  PDF
Design and Application of Smart Irrigation Big Data Management Platform
ZHANG Jie, HUANG ZhongDong, LIANG ZhiJie, LI ShiJuan, LIU ShengPing

Predominantly extensive flood irrigation method leads to wastage of water resources. Therefore, exploring efficient and water-saving agricultural irrigation methods is crucial. This study has developed an intelligent irrigation big dat...

2024, 6(1):  82-93.  Doi: 10.19788/j.issn.2096-6369.000007
Abstract  |  Rich HTML |  PDF
Panel Data Set of The National Model Society of Specialized Farmers' Cooperatives from 2014 to 2020
YANG QiMing, SHI DanYan, SHEN MengLu, HUANG Ying

The National Model Society of Specialized Farmers' Cooperatives is a model organization established at the national level to promote and demonstrate the good experience and practices of specialized farmers' cooperatives. It is supporte...

2024, 6(1):  94-102.  Doi: 10.19788/j.issn.2096-6369.100006
Abstract  |  Rich HTML |  PDF
Soil Nutrient Characteristics Dataset of Different Types of Grasslands in Inner Mongolia in 2021
DONG Qi, SUN FengCheng, LI YanFang, LI XiuPing, LI BaoHe, REN Chao, YIN Xin, DI CaiXia, LIU TingTing

Grassland is not only the largest terrestrial ecosystem, but also the most diverse ecological resource. Grassland observation monitoring is a systematic observation, monitoring, and recording of grassland production factors and their d...

2024, 6(1):  103-109.  Doi: 10.19788/j.issn.2096-6369.100005
Abstract  |  Rich HTML |  PDF
A Dataset of Cavity-Nesting Hymenoptera in Tea Plantation, Guizhou
WEN DiLan, TAN XiaoFeng, LV JiaLe, HU Yang

Tea, with a long history of cultivation and widespread planting areas in China, is one of the world's top three non-alcoholic beverages. Guizhou has 466.7 thousand hectares of tea plantations, ranking first class among provinces and re...

2024, 6(1):  110-116.  Doi: 10.19788/j.issn.2096-6369.100004
Abstract  |  Rich HTML |  PDF
Construction of a Digital Twin System for Smart Dairy Farming Technologies and Equipment
HU YiNong, QIU ZhenSheng, LIU JianLong, PAN HaiHai, ZHU HongBin, BAI ZongChun

Digital twin has been recognized as a new development stage of smart agriculture. By establishing physical systems and digital spaces for agricultural production, digital twin technology has achieved the integration of "connection - pe...

2024, 6(1):  117-126.  Doi: 10.19788/j.issn.2096-6369.000003
Abstract  |  Rich HTML |  PDF
Construction of Big Data Platform for Modern Agricultural Industrial Park: A Case Study of the Tea and Flower Industry Big Data Platform in Zhangping City, Fujian Province, China
ZHANG Qian, TIAN YiHui, LIN XiuMei, DENG BiXian

Agricultural big data is of great importance for developing smart agriculture and promoting agricultural modernization, which could be promoted by the combination of the industrial chain data and the area data of county level or agricu...

2024, 6(1):  127-135.  Doi: 10.19788/j.issn.2096-6369.000002
Abstract  |  Rich HTML |  PDF
The Constructional Path of County-Level Rural Digitalization Based on Big Data
ZHANG Qian, TIAN YiHui, WANG Ying

Counties play a key role in the process of China's economic development. They are also the main front for the implementation of rural digitalization. Digitalization of rural area is also an important driving force to promote the develo...

2024, 6(1):  136-144.  Doi: 10.19788/j.issn.2096-6369.000001
Abstract  |  Rich HTML |  PDF