The Anomalies are warnings of zones with potential problems, notifications sent to the user whenever defective areas are detected within a field, either by flooding, drought, pests or crop diseases. The user can determine from the platform the frequency with which he wants to receive the anomalies. These warnings are nothing more than anomalies, caused by a change, or a diversion corresponding to areas of low NDVI vigor regarding the general average of the field or a previous image. These Anomalies can be deleted in case you know their origin or saved as "management zones" if you want to track them. "

Crop monitoring, sampling and tracking 3

Q: Frequency of anomalies: How often do they appear? What about old anomalies?

How often do the anomalies appear? The frequency of the anomalies will depend purely and exclusively on how long it takes for a new image to appear, since the platform detects them by comparing images. Therefore, when you register a field, you have to wait until two images with different dates appear to obtain anomalies. What happens with the old anomalies? As a user you will see the anomalies of the last 30 days . Previous anomalies will be automatically deleted. Login to Auravant "

Q: What are anomalies and what are they for?

Anomalies are proactive alerts that identify zones within each field with possible diversions versus what is expected. The objective is to help you detect early the sites where the crop may be suffering some incidence of pests, diseases, water deficit or excess. Each pixel of the image is analyzed for problems, taking into account the evolution of the field and other data sources. Every time a new image is available, a list of alerts is generated, which can be individually selected to be displayed as polygons within the fields. With this tool you will be able to detect particular zones that at first sight in the farm are difficult to differentiate, but analyzing them in detail have significant differences, giving you the possibility to take corrective measures to improve your production. Login to Auravant "

Q: Saving or deleting anomalies: How to track them?

How to save an anomaly as a Management Zone? If you want to save an anomaly to follow up on, you must select it from the list and click on the Diskette to Save It as a Marker , where you will be able to make a classification of that area and add comments. These markers will also be available from the app so you can take them into account when you go through the lot. How to remove an anomaly? In case the anomaly is not relevant, you can remove it by clicking on the Garbage Can. Wait 2 seconds and the anomaly will be deleted. Login to Auravant "

Q: How to record weeds during a monitoring?

Before starting to monitor weeds it is necessary, first, to generate a New Monitoring. And second, a Station to associate it to. If you haven't done it yet, click here to go to the monitoring module instructions. Quick Guide to Monitoring Adversities Once the option Weeds has been selected within the panel of adversities, the weed to be checked must be sought through its scientific or common name. Finally, the sample is characterized by entering the % of coverage and phenology. "

Q: How can I estimate performance using the Histogram?

One of the features of the histogram is the possibility of estimating yields. Remember that with the histogram you can quickly display a graph of the fields based on their NDVI (indicator of vegetation vigor). This allows you to easily relate the values and areas, generating zones regarding the information processed. The zones of interest present little internal variability and high differentiation with other regions, highlighting particular characteristics. That is why the histogram can be used as an isoproductivity map to estimate the yield to be obtained in the current season. To do so, the following steps must be followed: 1- Use an image of the critical period of the crop. 2- Divide the image into as many isoproductivity zones as desired. 3- Choose at least three points per zone to take samples in the farm with the help of the mobile App. 4- The yield estimate for each zone is obtained by multiplying the estimated average yield in that zone by the area of the zone. "