黑龙江省主要作物的历史及实时样本数据

现代农业的发展，促使了农业物联网的诞生，作为一种农业现代化管理技术，被应用于实现农产品安全溯源、实施农业生产管理、远程监管及自动化农业生产管理，具有良好的经济效益与社会效益。通过分析遥感影像、多光谱数据和红外数据，可以用于农业监测、夏粮、秋粮产量估算，估算结果对国家整个粮食生产布局及全球粮食贸易等都非常重要。还可以让农民更准确的判断作物的健康情况减少病虫害对作物的影响，进而保障作物的产量和质量。

The development of modern agriculture has spawned the Agricultural Internet of Things (AgIoT). As a modern agricultural management technology, AgIoT is applied to realize agricultural product safety traceability, carry out agricultural production management, remote supervision and automated agricultural production management, and boasts favorable economic and social benefits. By analyzing remote sensing imagery, multispectral data and infrared data, it can be used for agricultural monitoring and yield estimation of summer and autumn grains. The estimation results are of great significance to the national grain production layout and global grain trade, among other aspects. Furthermore, it enables farmers to accurately assess the health status of crops, reduce the adverse impacts of pests and diseases on crops, and thereby ensure the yield and quality of the crops.

搜集汇总

背景与挑战

背景概述

该数据集是黑龙江省主要作物的历史和实时样本数据，基于农业物联网技术，通过遥感影像、多光谱和红外数据分析，用于农业监测、产量估算和作物健康评估，以提升作物产量和质量。数据集覆盖黑龙江省，包含100 GB静态数据，维度为26，主题为资源环境/农业数据，主要应用于现代农业场景。