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Table of Content
Volume 8 Issue 3, 26 September 2026
Research on a Low-Altitude Remote Sensing Segmentation Model for Sugarcane Drought Level Identification
WANG ZhengFeng, LI Li, MA RuiSheng, MO YunJie, KUANG ZhaoMin

To address the limitation of drought assessment and early warning methods relying primarily on single meteorological indicators in accurately reflecting sugarcane growth, this study constructs an intelligent method for identifying suga...

2026, 8(3):  281-295.  Doi: 10.19788/j.issn.2096-6369.000161
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Few-Shot Pest Detection via Multi-Order Feature Aggregation
CAO PeiPei, LI He, REN BaoJian

In real farmland scenarios, some pest species are difficult to collect, resulting in very limited sample sizes. Traditional detection methods struggle to achieve reliable detection and classification performance under such few-shot con...

2026, 8(3):  296-304.  Doi: 10.19788/j.issn.2096-6369.000141
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Prediction of Main Vegetable Prices in Hebei Province Based on Dual-Channel GWO-KELM
JIA Xincheng, JIA Hua

To address the nonlinear, non-stationary, and high-noise characteristics of main vegetable price series in Hebei Province, as well as the problem that the kernel extreme learning machine (KELM) relies on empirical parameter settings, w...

2026, 8(3):  305-312.  Doi: 10.19788/j.issn.2096-6369.000166
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Construction of the Big-data driven Detection and Identification System for "Two Frauds" in China's Agricultural Insurance
ZHAO SiJian, XUE LuYao

False underwriting and false claims are important risks constraining the high-quality development of agricultural insurance in China. They not only affect the efficiency of fiscal subsidy use, but also weaken the risk protection functi...

2026, 8(3):  313-320.  Doi: 10.19788/j.issn.2096-6369.000159
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Research on Intelligent Services for Jujube Domain Knowledge, Based on Ontology
XUE Yuan, FENG JianZhong, YANG Hao, WANG Jian, GAO XiangWei, XIE NengFu, CAO Dan, BAI LinYan, CHEN CaiMing

To address the current issues in the red jujube domain, including fragmented knowledge systems, delayed updates, insufficient personalization of knowledge services, and low service quality and efficiency, and to meet the practical need...

2026, 8(3):  321-337.  Doi: 10.19788/j.issn.2096-6369.000133
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Research on Agricultural and Rural Security System Based on State Commercial Cryptography Algorithms
CHEN Jie, LU TianGang, WANG CaiHong, LU YueJing, LIANG JianPing, YE Xu, CHENG Xu, YANG YingYing, JIN ShouYe

With the further advancement of the digital rural strategy, collaboration and data sharing in the agricultural and rural fields, its openness and intelligence have brought severe security challenges, which are directly related to natio...

2026, 8(3):  338-346.  Doi: 10.19788/j.issn.2096-6369.000156
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“Data Poverty” in the Era of Smart Agriculture: Logical Mechanisms, Representations, and Governance Pathways for Data Rights
WU PeiQian, ZHONG YuXin

The evolution of smart agriculture has revealed a significant "large-farm bias," leaving 500 million smallholders worldwide at risk of systematic marginalization within algorithmic iterations. Exposing these structural inequalities and...

2026, 8(3):  347-353.  Doi: 10.19788/j.issn.2096-6369.000165
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Agricultural High-Quality Dataset Evaluation Framework and Full- Lifecycle Governance Pathway
XIE NengFu, WANG XiaoLi, WANG Xin, MENG ZhiBo, MAN Rui, ZHAO ZhongHe, WU Hao, LV QianJie

High-quality agricultural datasets are fundamental resources that support the development of intelligent agricultural models, digital agriculture applications, and scientific decision-making. The effectiveness of their construction dep...

2026, 8(3):  354-372.  Doi: 10.19788/j.issn.2096-6369.000168
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A Review of Research on Domestic and International Ladybug Datasets: Resource Status, Applications, and Challenges
LI BingYan, WANG Chang, WANG EnDong, XU XueNong, ZHANG Bo

Ladybugs are important predatory natural enemies in ecosystems, playing a critical role in suppressing pest population growth and maintaining ecosystem stability. In this study, we systematically reviewed and evaluated the current stat...

2026, 8(3):  373-396.  Doi: 10.19788/j.issn.2096-6369.000169
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Methods for the Investigation, Identification, and Preservation of Predatory Mite Resources
LI BingYan, WANG EnDong, XU XueNong, ZHANG Bo

Predatory mites prey on a wide range of small insect pests and phytophagous mites and therefore play important roles in agricultural ecosystems and biological control. In the context of reduced reliance on chemical pesticides, the deve...

2026, 8(3):  397-407.  Doi: 10.19788/j.issn.2096-6369.000170
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Dataset of the Resistance to Pear Leaf Ring Rot of 4 Pear Hybrid Combinations F1 Generation and 15 Pear Varieties in Xingcheng City, Liaoning Province in 2025
YANG Zhen, ZHANG YanJie, OU ChunQing, WANG Fei, QI liYong, JIANG ShuLing

Pear ring rot is one of the main pear diseases caused by Botryosphaeria fungi, which mainly harms pear leaves, branches, and fruits, seriously affecting pear yield and quality, and causing significant economic losses to the industry. T...

2026, 8(3):  408-413.  Doi: 10.19788/j.issn.2096-6369.100071
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A Dataset of Coccinellid Diversity and Menochilus sexmaculata Population Dynamics in Eggplant Fields of Chengmai County, Hainan Province from 2020 to 2025
JIA JingJing, CHEN JunYu, HUANG WeiKang, FENG Qing, LIN ZhuFeng, JI XunCong

The biological resources were abundant and diverse in Hainan because of the unique geographical environment and climatic conditions. Menochilus sexmaculata (Fabricius), as one of the dominant predatory natural enemies in this re...

2026, 8(3):  414-420.  Doi: 10.19788/j.issn.2096-6369.100074
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