IoT in Agriculture: How we experimented with Technology for Farming

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IoT in Agriculture: How we experimented with Technology for Farming
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Farm productivity can be increased by understanding and forecasting crop performance in a variety of environmental conditions.
Crop recommendation is currently based on data collected in field-based agricultural studies that capture crop performance under a variety of conditions (e.g., soil quality and environmental conditions).
Furthermore, the quality of manually collected crop performance data is very low, because it does not take into account earlier conditions that have not been observed by the human operators but is essential to filter out collected data that will lead to invalid conclusions (e.g., solar radiation readings in the afternoon after even a short rain or overcast in the morning are invalid, and should not be used in assessing crop performance).
Emerging Internet of Things (IoT) technologies, such as IoT devices (e.g., wireless sensor networks, network-connected weather stations, cameras, and smart phones) can be used to collate vast amount of environmental and crop performance data, ranging from time series data from sensors, to spatial data from cameras, to human observations collected and recorded via mobile smart phone applications.
Improving farm productivity requires crop performance to be understood and forecasted under a wide variety of environmental, soil, fertilization, and irrigation conditions.
Productivity of a farm can be enhanced by determining which crop variety has produced the greatest yield under similar soil, climate, fertilization, and irrigation conditions.
The same data-driven approach to crop selection can also address climate change, resource constraints (water, labor, and energy shortages), and societal concerns around issues such as animal welfare, fertilizers, and environment that often impact agricultural production
The real time data from above was sent to cloud for analytics using which alerts regarding soil and crop health and remedial actions are flashed on our IoT & Analytics in Agriculture dashboard

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