Croplands can suffer from waterlogging due to oversupply, topographic, or soil differences that cause problems as deleterious as water deficiency. One farmer used drone software analysis to identify the areas on his farms that were affected by waterlogging to save wheat yields, as traditional methods were not pragmatic, cost-effective, or accurate.
Otherwise, Tim Barney stood to lose nearly 10% of the wheat crop on 125-acres as a result of waterlogging.
He realized that Agremo’s waterlogging analysis was an excellent fit for his needs. Moreover, the instructions with links to related services made the whole process simple. High-resolution aerial pictures obtained through remote sensing from a drone were stitched to prepare a 2D map of the entire farm, and then uploaded to the Agremo app.
Agremo software, which is based on Artificial Intelligence processes, performed automatic analytics of the aerial imagery using spectral data to identify differences in plant health. Then these areas were classified and quantified, and the insights were provided in a report along with the analyzed map and sent to the farmer within two days.
The report had classified the wheat farm into three zones- waterlogged, wet, and fine. The 16 areas to a tune of 9.33 acres or 7.3% of the total farmland that was waterlogged and wet were demarcated on the map.
The farmer was able to locate the 16 problem spots with the help of the map. He took several remedial measures such as draining excess water and providing extra nitrogen based on insights from the report, to prevent loss of wheat yield. He also used the analyzed map to take preventive agricultural measures to avoid waterlogging in succeeding crop cycles on his farm.
Based on the information he found on the Agremo website and that he got from our staff, Tim listed his requirements. He needed a drone to take pictures, to produce the 2D map, and to use Agremo software for analysis.
Tim explored drones and sensors which were supported by Agremo, and found out that he could use any drone that produced orthophoto maps. The sensors could be RGB, NIR, and multispectral. He obtained many high-resolution photos of his 125-acre farm with a drone.
To prepare a map from the drone imagery, Tim used an online “stitching program” provided by DroneDeploy, which is customized for agricultural fields. All the drone photos were combined to give a seamless 2D map of his entire 125-acre farm.
Next, Tim uploaded the 2D map to the Agremo web app and followed the instructions. He selected the area on his field he wanted to analyze, chose “Waterlogging analysis” by clicking on the icon, and specified the crop and its growth stage.
There was an analyzed map of the field (JPEG file) depicting three categories of areas:
The insights from the analysis were in the accompanying document (PDF file). A table included the details on acreage and percentage of land for each of the three categories.Tim could use the figures he got for decision making, as no further calculations were needed on his part.
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Based on the report, Tim had more data than ever before, and was now able to:
The Agremo waterlogging analysis report showed Tim that he had 16 different areas on his 125-acre field which were affected by waterlogging. A total of 9.33 acres or 7.43% of the field were affected.
By knowing the exact size and location of the problem spots, Tim could decide how to remedy problems in the 16 waterlogged areas for the current and future seasons. To help his current crop, he decided to:
Differences in soil type or topography make some parts of the farm more prone to waterlogging. After ascertaining the cause, Tim decided to preempt the possibility of flooding in problem spots for the next season by:
Even though precision agriculture sounded daunting, Tim found the Agremo website was user-friendly and reports were easy-to-understand. The Agremo app is designed for people with no previous experience of remote sensing or AI. Agremo’s AI technology allowed the analysis of large amounts of data and provided actionable insights rapidly.
With the Agremo results and model, Tim:
Agremo recommends waterlogging analysis for pre-planting, planting, and growing stages. It can also be used for more than 100 species. Based on several years’ experience, we offer analysis both for annual and tree crops.
The data generated by precision farming is a powerful tool that can help farmers like Tim in making correct decisions based on accurate risk assessment. Precision agriculture can save crops, improve resource use efficiency, and increase profits for the farmers. For society, it guarantees less environmental pollution and greater food security.
*Name has been changed to protect the identity of the client.
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