Microclimate Sensing in Experimental Plots: Delivering Real-Time Weather Insights for Accurate Research Outcomes

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Agriculture University

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UN SDG 13 - Climate Action

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Lucknow, Uttar Pradesh

Pain Points

Researchers and scientists faced these issues due to inadequate weather monitoring.

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Lack of Real-Time and High-Frequency Data

Manual methods provided only one or two readings per day, missing short-term weather events and reducing the accuracy of research outcomes.

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Labor-Intensive and Time-Consuming

Researchers had to travel to each station to collect readings, taking time and increasing effort, especially in remote or difficult-to-access plots.

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Human Errors and Data Inconsistencies

Manual entry errors, missed readings, and inconsistent data formats reduced the reliability of climate records and experiment repeatability.

Our Offerings

Based on pain points from poor weather monitoring, we implemented the following solutions.

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Automated Real-Time Weather Monitoring

Installed sensors that continuously track temperature, humidity, solar radiation, and wind without manual input.

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Wireless Data Transfer

Enabled long-range wireless communication, eliminating the need to visit each research plot physically.

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Cloud-Based Dashboard Access

Researchers could view, analyze, and export weather data from all plots in one centralized, real-time dashboard.

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Reliable Historical Data Logging

Provided high-resolution data storage for tracking weather trends and supporting long-term research accuracy.

Installed sensors that continuously track temperature, humidity, solar radiation, and wind without manual input.

Enabled long-range wireless communication, eliminating the need to visit each research plot physically.

Researchers could view, analyze, and export weather data from all plots in one centralized, real-time dashboard.

Provided high-resolution data storage for tracking weather trends and supporting long-term research accuracy.
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Our Deployment Our Deployment Our Deployment

Outcomes

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High-Frequency Data Collection

Continuous data capture ensured no weather events were missed, improving the detail and depth of analysis.

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Reduced Fieldwork and Human Effort

Remote monitoring saved time and allowed scientists to focus more on analysis rather than manual tasks.

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Improved Data Accuracy and Consistency

Removed human errors from the process, ensuring more trustworthy and repeatable experimental data.

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Better Decision-Making for Field Trials

Access to real-time microclimate data helped researchers take timely actions and improve experimental outcomes.

iconHarnessing Real-Time Weather Data: Enhancing Research, Minimizing Risk

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Get in Touch

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