On-Farm Weather Station Data
Buy and sell on-farm weather station data data. Hyperlocal temperature, rainfall, wind, and humidity from farm weather stations. Crop prediction AI needs field-level weather data.
No listings currently in the marketplace for On-Farm Weather Station Data.
Find Me This Data →Overview
What Is On-Farm Weather Station Data?
On-farm weather station data consists of hyperlocal atmospheric measurements collected directly from agricultural fields, including temperature, humidity, rainfall, wind speed, and solar radiation. These automated monitoring systems provide real-time, field-level data that enables farmers to make informed decisions on crop management, irrigation scheduling, and pest control. The farm automated weather stations market is valued at USD 39.66 million and is projected to grow at a CAGR of 7.29% from 2023 to 2028, driven by increasing adoption of smart agriculture methods and precision farming practices. This data is essential for crop prediction AI systems, yield optimization, and sustainable farming operations.
Market Data
USD 39.66 million
Market Opportunity (2024-2028)
Source: Technavio
7.29%
Growth Rate (CAGR 2023-2028)
Source: Technavio
6.67%
Year-over-Year Growth (2023-2024)
Source: Technavio
37% growth
North America Market Share (2024-2028)
Source: Technavio
Up to 30% vs. traditional irrigation
Water Usage Reduction Potential
Source: Technavio
Who Uses This Data
What AI models do with it.do with it.
Precision Agriculture & Crop Management
Farmers use real-time weather data to optimize crop management, adjust irrigation schedules, and reduce water usage by up to 30% compared to traditional methods. Advanced analytics enable informed decisions on planting, fertilization, and harvest timing.
Crop Prediction AI & Analytics
Agricultural AI systems and machine learning models rely on field-level weather data to predict yields, assess risk, and provide decision-support tools for optimizing farming operations and reducing input costs.
Supply Chain Optimization
Agribusinesses use weather pattern predictions from station networks to optimize supply chains, adjust harvest schedules, reduce transportation costs, and ensure timely delivery of produce to market.
Regulatory Compliance & Risk Management
Governments worldwide require accurate weather data for agricultural operations. Farmers and agribusinesses use this data to comply with regulations and make strategic investment decisions in farming technology.
What Can You Earn?
What it's worth.worth.
Small-Scale Farm Data (Single Station)
Varies
Data from individual farm weather stations; pricing depends on data frequency, historical depth, and access method.
Regional Farm Network Data
Varies
Multi-station data from agricultural regions; buyers typically negotiate based on coverage area, data granularity, and licensing terms.
Premium Analytics-Grade Data
Varies
High-quality, elevation-adjusted, gap-free datasets with deep historical coverage suitable for enterprise AI and predictive analytics platforms.
What Buyers Expect
What makes it valuable.valuable.
Real-Time Data Accuracy
Temperature, humidity, rainfall, wind speed, and solar radiation measurements must be accurate and current to support crop management and irrigation decisions.
Historical Data Coverage
Deep historical datasets with strong coverage enable validation of weather patterns, predictive model training, and long-term trend analysis for agricultural planning.
Data Reliability & Gap-Free Coverage
Enterprise buyers expect consistent, uninterrupted data collection with minimal gaps to ensure reliability for mission-critical decision-making and regulatory compliance.
Analytics-Grade Quality & Elevation Adjustment
Professional buyers require data that is cleaned, validated, elevation-adjusted, and unified from trusted sources to deliver measurable ROI and support advanced machine learning applications.
Flexible Data Delivery & Format
Buyers expect data accessible in multiple formats and through various delivery methods (APIs, cloud integration, direct download) to integrate seamlessly into data warehouses and analytics platforms.
Companies Active Here
Who's buying.buying.
Launched Weatherpoint automated weather stations in August 2024 to help farmers make informed crop management decisions; integrating weather data into precision agriculture solutions.
Major player in farm automated weather stations market; manufactures advanced sensor networks for environmental and agricultural monitoring.
Leading provider of environmental and weather monitoring solutions; supplies data acquisition systems for agricultural operations.
Manufacturer of weather station hardware and data logging solutions for agricultural and environmental monitoring applications.
Provides analytics-grade weather intelligence and gap-free, elevation-adjusted datasets for precision agriculture and business decision-making.
FAQ
Common questions.questions.
What data points are included in on-farm weather station datasets?
On-farm weather station data typically includes temperature, humidity, rainfall/precipitation, wind speed, and solar radiation. These real-time measurements enable farmers to optimize crop management, irrigation scheduling, and livestock care.
Why is on-farm weather data important for crop prediction AI?
Crop prediction AI systems require field-level, hyperlocal weather data to accurately forecast yields, assess pest and disease risk, and provide decision-support recommendations. Real-time atmospheric conditions are critical inputs for machine learning models that optimize farming operations and reduce costs.
What is driving growth in the farm automated weather stations market?
The market is driven by increasing adoption of smart agriculture methods, demand for precision farming practices, regulatory requirements for accurate weather data, and the potential for significant cost savings and improved productivity. The market is projected to grow at a CAGR of 7.29% from 2023 to 2028.
What challenges exist for smaller farming operations?
High ownership costs associated with farm automated weather stations remain a barrier for smaller farming operations. However, long-term cost savings, operational efficiency improvements, and the potential to reduce water usage by up to 30% make these systems a worthwhile investment for large-scale farming businesses.
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If your company generates on-farm weather station data, AI companies are actively looking for it. We handle pricing, compliance, and buyer matching.
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