What is drone-based flowering analysis?
Agremo flowering estimators tell you the percentage of plants which have reached the flowering stage. Depending on the plant and crop you are analyzing you also obtain data on their current flowering stage.
Why is this kind of information essential?
Seasoned farmers know that flowering levels of plants or crops on the same field can vary. Drone data is a great alternative to traditional measures which offer only estimates of a small part of your field. Drone data gives you accurate numbers on the flowering areas on your field.
To get conclusive results, it’s important to upload high-resolution images with around 0.9 in per pixel. If you’re not sure how to obtain crisp images, take a look at these mapping tips.
Agremo flowering estimators can be used to:
- Determine the best time for harvesting and swathing
- Optimize pest control measures: certain pesticides and fungicides need to be applied during a specific flowering stage in order to be fully effective
- Perform yield estimations and estimate biomass.
When is the best time for a flowering analysis?
Flowering analyses can be performed during mid-season tasks to optimize pest control measures and perform yield estimations, and during late-season tasks if you’d like to determine the optimum time for harvesting and swathing.
For more information on stand counts for specific crops, download the free mapping calendars in the Example section.
What are the benefits of drone-based flowering analyses?
There are several benefits that drone-based flowering analyses have compared to traditional measures.
Drone-based flowering analyses are:
- Fast and save time and resources
- Able to cover around 500 acres in less than two hours
- Accurate – with error rates lower than 2%. And with drones, you can analyze every inch of your field
- Proactive and allow effective in-season corrective measures.
The example above shows a canola flowering analysis. It revealed that less than 18% of the field had reached full flowering stage and that 80% of the plants showed no or little flowering. This is essential information for harvest planning, as many steps of the process (including yield!) depend on this kind of information. Plus, the result map on the second page shows the grower the exact location of parts of the field with higher and lower flowering levels.
To see another example, take a look at this Canola case study!
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Disclaimer: People and plants are living beings – and living beings act differently from machines and algorithms. This is why Agremo does not claim to offer a complete or entirely error-free analysis of the provided data and cannot be held responsible for any errors, omissions, damages, or losses of any kind. Agremo makes significant efforts to keep the underlying workflow as proficient and precise as possible, but there are numerous limiting factors which cannot be foreseen, excluded, or modified. Such limiting factors can affect the results of the analyses and include low image quality, complex natural phenomena, diseases which cannot be captured with today’s technology, etc.