“农数智联”高质量数据集

数据内容：通过在 测试场景的标准化核心试验基地部署全域物联网传感器网络收集数据，涵盖气象监测系统数据（如温湿度、光照等）、土壤墒情监测系统数据（pH、电导率、氮磷钾等）以及 5 种植被指数监测系统数据。同时，借助 小程序定制化业务功能模块，记录农资管理（购买、使用、库存等）、采收与经营管理（采收重量、订单、物流、成本收益等）、农场基础管理（电子地图、地块信息等）、种植计划管理（农事任务、种植流程等）相关数据，并将传感器数据、植被指数传入大模型进行分析，生成如长势评估、养分诊断等优化建议数据。
应用场景：应用于农业生产全流程数字化、智能化管理。从种植计划制定、农资精准管控，到采收与经营管理，实现精准农业决策。例如，依据数据实现灌溉、施肥、病虫害防治的精准作业，解决农资管理混乱、成本核算低效、产销衔接不畅等问题，推动传统农业向 “数据智能 + 产业协同” 模式转型升级。
覆盖范围：以江西沃邦农业科技股份有限公司规划建设的 160 亩标准化核心测试基地为核心采集区域，通过软件平台及相关功能，其应用可辐射到农户、合作社等农业生产经营主体，助力实现农业生产、经营、管理全流程数字化管控。

Data Content: Data is collected by deploying an omnipresent IoT sensor network at the standardized core test base for agricultural testing scenarios. The collected data covers meteorological monitoring system data (e.g., temperature and humidity, illumination, etc.), soil moisture monitoring system data (e.g., pH value, electrical conductivity, nitrogen, phosphorus, potassium, etc.), and data from 5 types of vegetation index monitoring systems. Additionally, customized business function modules via mini-programs are used to record data related to agricultural materials management (purchase, use, inventory, etc.), harvest and operation management (harvest weight, orders, logistics, cost-benefit, etc.), basic farm management (electronic maps, plot information, etc.), and planting plan management (farming tasks, planting workflows, etc.). Sensor data and vegetation index data are input into Large Language Models (LLMs) for analysis, generating optimized recommendation data such as crop growth assessment and nutrient diagnosis. Application Scenarios: This dataset is applied to the digital and intelligent management of the entire agricultural production workflow, ranging from planting plan formulation and precise agricultural material control to harvest and operation management, to enable precise agricultural decision-making. For example, precise operations including irrigation, fertilization, and pest and disease control can be implemented based on the collected data, solving problems such as disorganized agricultural materials management, inefficient cost accounting, and poor alignment between production and sales, and promoting the transformation and upgrading of traditional agriculture toward the "Data Intelligence + Industrial Collaboration" model. Coverage Scope: The core data collection area is the 160-mu standardized core test base planned and constructed by Jiangxi Wobang Agricultural Technology Co., Ltd. Through the software platform and related functions, its application can radiate to agricultural production and operation entities such as individual farmers and agricultural cooperatives, helping to realize the digitalized control of the entire process of agricultural production, operation and management.

搜集汇总

背景与挑战

背景概述

该数据集通过部署物联网传感器网络，在标准化核心试验基地采集气象、土壤墒情和植被指数数据，并结合小程序记录农资管理、采收经营等业务数据，利用大模型分析生成优化建议。它应用于农业生产全流程的数字化和智能化管理，旨在实现精准农业决策，解决农资管理混乱和产销衔接不畅等问题。数据覆盖以160亩测试基地为核心，可辐射至农户和合作社等农业生产经营主体。