With the acceleration of the process of agricultural intelligence, the application of artificial intelligence technologies based on deep learning and robotics in agricultural production has attracted more and more attention. In order t...

To address the challenges of low detection accuracy caused by the diverse species, significant size variations, and complex growth environments of wheat pests in natural settings, a PSA-YOLO11n algorithm is proposed to enhance detectio...

Backward irrigation methods, non-standard water management and weak water-saving consciousness lead to the obvious gap between the effective utilization coefficient of farmland irrigation water in China and that in developed countries....

This paper explores the development and application of an intelligent service platform for radar flow measurement in irrigation areas with high sediment content. The platform is designed and constructed as a cloud-edge-end collaborativ...

This study utilizes panel data from 285 prefecture-level cities across China from 2011 to 2020, taking the national-level Big Data Comprehensive Experimental Zone policy as a quasi-natural experiment. Using a generalized difference-in-...

In order to centralize and integrate high-quality crop germplasm resources, reduce the pressure of centralized data storage, improve the security of high-quality crop germplasm data, and increase the protection and utilization of high-...

Digital rural service stations play a pivotal role in enhancing digital service accessibility for rural populations while driving agricultural efficiency, increasing farmer incomes, and revitalizing rural communities. Drawing on field ...

In the context of open science deepening research data management practices, data librarians processing personal information need to address legal, ethical, and practical challenges to balance openness and protection. This study aims t...

Accurately identifying corn leaf diseases is an important part of intelligent agricultural management. The existing maize disease data sets have problems such as uneven quality, fuzzy label categories, and lack of multimodal data, espe...

With the rapid development of natural language processing and information retrieval technologies, the effective extraction and application of knowledge in the agricultural field have become increasingly important. The core of informati...

Herein we present a dataset of insect species obtained from a rapid insect survey conducted in Jingning She Autonomous County, Lishui City, Zhejiang Province. During the 3-day survey, a total of 443 species records were collected, cove...

Currently, our country is striving to achieve the goal of carbon peaking. “Blue Carbon,” represented by mangrove wetlands, is an indispensable component in the field of carbon sink. In 2020, the Ministry of Natural Resources issued the...

Hainan Province is surrounded by the sea on all sides, and the ecological environment quality of its surrounding waters has become an important factor restricting sustainable social and economic development. This dataset is based on th...