Category: Crop monitoring

Nobody knows his field better than a farmer or agronomist who works with the field for many years. That’s why any algorithm-based analytics often needs to be validated and adjusted by a professional using his deep knowledge of the field.

Merge and split zones feature allows a professional to make a few important things: 

• Split polygons
• Merge polygons
• Assign a polygon or a complete zone to another class

These adjustments can be applied for any data layer and it is a very useful feature to prepare YOUR perfect zones for precision ag operations like VR seeding, fertilizing or spraying.

What are splits in agriculture?

In agriculture, splits refer to the division or splitting of a field into different sections for various management practices.

This division allows farmers to apply different treatments or techniques to each section based on specific needs.

For example, farmers may split a field to apply different fertilizers, herbicides, or irrigation methods based on soil conditions or crop requirements.

Splits enable targeted and efficient application of resources, optimizing crop growth and minimizing costs while addressing specific challenges within different areas of the field.

Detecting changes that happened in the field during the last 1-2 weeks or 1-2 months or even a couple of years helps to get insights about crop development.

It can be used to:

• locate spots with similar performance across the 5-10-20 years and place the trials in areas with similar conditions to reduce the probability of mistakes,
• track the changes during the season and evaluate crop performance during the growth,
• recognize the damaged areas after a weather disaster or a disease or a pest attack and calculate damaged areas,
• detect the difference between the last 2 images and control the crop performance.

And all that and even more cases are covered with GeoPard Field Stability Zones. Especially, it will provide more insights together in combination with in-season and historical management zones.

Simply choose your field and satellite images to track the changes across them, control crops, and get insights about every spot in your field.

It’s no secret that we constantly enrich the GeoPard Agriculture solution and increase its value to users. Just look at the “coming soon” section of our website https://geopard.tech to get an idea of some features on the way.

Their prioritization can be challenging. Here, feedback and product demos come to the rescue. Thus, presenting our solution to many attendants of the World Agri-Tech Summit in London, we were able to adjust the delivery plan and release a new layers comparison feature just within a few days.

What is it about? You can visually compare field analytics side by side in a split view. It is possible to select any type of layers for comparison: imagery with natural or infrared colors, imagery with vegetation views, in-season or historical management zones. Two layers behave synchronously when you zoom-in / zoom-out or move a map for your conveniences.

How to enter the split view mode? Select your field and click compare layers icon in the top menu. On the split view screen, select the analytics layer using a searchable drop-down list located on the top.

What does it mean? Historical (multi-year) management zones are built based on 30+ years archive of satellite imagery.

Images with peak vegetation during every season are automatically selected as inputs for analytics. Otherwise, every such image represents a potential yield file for the related year.

Historical (multi-year) management zones provide insights about every spot in the field.

How can you use it? The field crop development pattern helps to know the agricultural area better and to apply the right decision with the right input rates in the right spots.

Historical management zones could be used as a blueprint for prescription (Rx) files for seeding, fertilization, zones based soil sampling.

We support all regions by request.

What are Multi-Year Zones?

Multi-Year Zones in precision agriculture refer to specific areas within a field that exhibit consistent and distinguishable patterns of crop growth and yield over multiple growing seasons.

These zones are identified using various technologies such as remote sensing, GPS mapping, and soil sampling.

By analyzing the data collected from these technologies, farmers and agronomists can identify patterns of variability within a field and create maps that distinguish areas of high productivity from those with lower yields.

This information can then be used to optimize crop management practices, such as varying planting density, adjusting irrigation and fertilization rates, and even implementing precision harvesting techniques.

They provide a valuable tool for precision agriculture as they allow farmers to make informed decisions about resource allocation and crop management, resulting in improved efficiency, reduced costs, and increased yields.

By understanding the variability within a field and tailoring management practices to each specific zone, farmers can maximize the potential of their land and resources.