David Trent* was one such farmer who wanted to reduce the quantity of pesticide treatment. By using Agremo image analytics, he discovered Red Spider infestation in his avocado plantation.
Agremo software, based on Artificial Intelligence and Machine Learning, has perfected aerial image analysis by working on thousands of acres worldwide and now boasts only a 2% error.
Once David was assured that Agremo offered Pest Detection Analysis customized for trees such as avocados, he followed their advice and collected images of his farm with a drone. Next, he stitched the images to obtain a seamless 2D map of his farm that he uploaded to the Agremo web app.
Agremo’s rapid analytics identified, classified, and quantified pest infestation in avocados using spectral data and several vegetative indices, going beyond NDVI. The report showed that 83.1% of the avocado trees were fine, 13.4% showed potential stress, that is early stages of pest infestations, and 3.5% had heavy pest infestation.
David used the analyzed field map sent by Agremo to locate areas of infestation and he restricted treatment to only 16.9% of his farm. He saved inputs and $1244 per pesticide application. For the first time, he had also succeeded in proactive and early identification of infestation and an increase in yield. There was also an 80% reduction in soil and water pollution.
To be able to use Agremo pest analysis, we walked David through our three-step process: getting images, stitching them, and uploading the ground truth image on our website.
First, he used a drone to get high-resolution photos of his farm. It was not difficult and didn’t take long. The photos were of different areas of his orchard.
Secondly, he combined the photos using software made available by DroneDeploy, an online stitching tool. The result was a seamless map of his whole field.
Lastly, he uploaded the map to the Agremo website and chose pest analysis. Agremo precision agriculture software analyzed the image and the report was checked by our team of professional agronomists before it was sent to David. The results he received were more than just an output from a machine test.
The report was sent to David within the promised two-days deadline, in two file formats: the shapefile (shp) and document (pdf). The whole process was quick and David could handle his part without any problems.
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The Agremo pest analysis report was easy-to-understand. It divided his field based on pest infestation and pest intensity into three parts and presented data in hectares or percentages. He found:
Moreover, the map showed the precise location in the fields which were heavily or potentially stressed by pests.
With the information on the quantity and location of the infestation, David could make decisions in a way that was not possible before. Instead of spraying the whole farm, he decided to concentrate only on parts of the orchard that showed pest and potential stress. So, in total, he sprayed only 16.9% of his fields.
By doing so he had many economic benefits:
David was also able to solve the problem of his farm’s impact on the environment by using precision farming methods. Since he applied pesticides only where needed, he avoided the over-use of chemicals. As a result:
David used Agremo pest analysis early when he spotted the Red Spider on his avocado field.
Using drones and our solution, he was able to get the information he needed quickly without wasting time and money on expensive manual scouting. Moreover, the results of the analysis gave him precise information on the extent and location of the pest problem. This is something he didn’t have in previous years.
He acted quickly by spraying not only the areas affected by pests but also those that would be potentially affected by the spider-mite. He was able to prevent potential outbreaks in new parts of his avocado orchards. He was also able to save $1244 per pesticide application by restricting the spraying area.
At the end of the season, David also got a good yield and was assured he had not sacrificed harvest when he reduced pesticide input. By cutting pesticide costs, David had increased his returns on investment. He had also learned that precision farming methods were easy to apply to his farm. He would be using it again in the future and for other crops.
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