蚕桑茶叶等特色作物采摘期预测数据集

本数据集聚焦蚕桑、茶叶等特色经济作物的物候期与适宜采摘窗口预测，覆盖茶叶（春/夏/秋茶）、桑树（养蚕）、中药材、特色林果等类型。数据内容包括时间与空间信息、作物品种、气象条件、土壤墒情、物候阶段及采摘期、品质指标等维度。适用于采摘期精准预报、气候品质评价、种植区划调整、农业保险定损及农业大模型训练等场景。

This dataset focuses on predicting phenological stages and optimal picking windows for specialty cash crops including mulberry for sericulture and tea. It covers diverse crop categories: tea (spring/summer/autumn tea), mulberry trees for sericulture, traditional Chinese medicinal herbs, and characteristic fruit and forest crops. The dataset encompasses the following dimensions: temporal and spatial data, crop varieties, meteorological conditions, soil moisture content, phenological stages, picking periods, and quality indicators. It is applicable to multiple scenarios such as accurate picking period forecasting, climate-oriented quality evaluation, planting zoning adjustment, agricultural insurance loss assessment, and agricultural large language model (LLM) training.

搜集汇总

背景与挑战

背景概述

该数据集专注于蚕桑、茶叶等特色经济作物的物候期与适宜采摘窗口预测，涵盖茶叶、桑树、中药材和特色林果等多种类型。数据维度包括时空信息、作物品种、气象土壤条件、物候阶段及品质指标，适用于采摘预报、气候品质评估、农业保险和AI模型训练等应用场景。