Integration with MyJohnDeere Ops Center

The team at GeoPard is pleased to announce their integration with the MyJohnDeere Operations Center (Ops Center). MyJohnDeere customers can now seamlessly upload their data into the GeoPard system, where they can do an advanced data analysis, compare information to other data sets, and create detailed Variable Rate Application (VRA) maps for seeding, fertilizing and spraying.

These maps can then be wirelessly sent back to the MyJohnDeere Operations center and subsequently to fleets and machinery via a cloud-to-cloud connection, with no need for a USB stick. A step-by-step tutorial about import/export capabilities is here.

Description of Geopard integration to John Deere

Moreover, GeoPard provides automated synchronization of crop monitoring, detailed topography analytics, machinery and soil scanner data for MyJohnDeere clients.

GeoPard provides automated synchronization of crop monitoring
3D composite based on Productivity Zones and Topography collected by fleets

Agronomists, agribusinesses, precision agriculture specialists, and equipment dealerships can all utilize the GeoPard platform as a means to collate many data sets for optimal analysis.

From the John Deere Operations Center, field boundaries, seeding (as-planted) data, as-applied fertilizer maps, as-applied crop protection, tillage data, and yield data can all be imported to GeoPard and cross-analyzed.

This integration has simplified the data streamline process for multiple parties and stakeholders by providing them with a smooth-running analytical engine to gain new insights about relevant land parcels and logistics. 

GeoPard platform as a means to collate many data sets for optimal analysis
Zoned (Classified) VS Original Harvest Data
LiDAR VS Machinery Topography collected by fleets
LiDAR VS Machinery Topography collected by fleets

“Growers, JohnDeere dealerships, and ag consultants need solutions to get informed data-driven decisions. We are proud to be a software partner of MyJohnDeere platform to enable GeoPard precision agriculture analytics solutions for John Deere clients via wireless integration,” said Dmitry Dementiev, CEO & Co-Founder of GeoPard Agriculture.

This collaboration optimizes all the benefits of precision agriculture to users by making the creation of complex and personalized VRA maps increasingly accessible and simple to navigate and manage.

Prescription maps can be sent back to the John Deere Ops Center and to machinery in a streamlined process that promotes efficiency and accuracy for the VRA of multiple inputs.

About John Deere Ops Center: John Deere Ops Center is a digital platform of agricultural corporation John Deere, where users can manage the logistics and services of their machine fleets and equipment.

The data is stored securely in user accounts and allows customers to share and analyze their data systems via the internet and IoT devices, optimizing the efficiency of fleet and land management.  Learn more at: https://www.deere.com/en/technology-products/precision-ag-technology/data-management/operations-center/

About GeoPard Ag: Geopard is an AgTech company whose mission is to develop accessible and affordable enterprise-level analytics for sustainable agriculture.

Their platform allows you to simplify the complexities of precision agriculture through tools and services like VRA map creation and multi-layer yield, soil, topography, ground scanners and satellite data analytics. Learn more at: https://geopard.tech/.

Yield data and analytics in GeoPard

In this article:

  • Using yield analytics in precision agriculture
  • In-depth yield data analytics in GeoPard Agriculture 
  • Visualization of each attribute in Yield files
  • Correction of raw yield data 
  • 5 Practical examples of usage of yield maps
Raw and cleaned yield data in GeoPard
Raw and cleaned yield data in GeoPard

Yield data allows you to make more informed decisions and improve growing efficiency.
Field management zones constructed from multiple years of yield data are suitable for an initial assessment of potential yield and soil nutrient variability to make future crop management decisions.

Analysis of yield data can be converted to a variable rate application map and used, for example, for fertilizer application. Its calibration is another topic you need to consider, we will cover it in a separate blog post.

The advanced analytics in GeoPard is that you can perform multi-layer analysis by combining multiple layers of data into one map and looking for relationships between the data layers. 

Combined productivity zones can be generated based on vegetation indices from satellite imagery, topography, data from machinery such as yield, electrical conductivity, soil moisture, and others, as well as agrochemical analysis results.

Visualization of yield files is done automatically after downloading the file, it’s automatic processing and cleaning. Two versions of maps are shown below – the original image with data from the equipment monitor as is, and the GeoPard visualization.

The raw data has been converted into a gradient continuous surface image, for an easier understanding of the field heterogeneity and for creating management zones.

Each of the attributes of the yield file is available for visualization, such as moisture, yield mass, yield volume wet and dry, downforce, fuel consumption, machine speed, and so on.

Raw data correction means that if a point in the field is unnatural, it will be smoothed (for example, working over not the full width of the combine header). When creating Zones-based yield data, you can correct individual zones and polygons. 

Let’s take a look at some practical examples of using yield maps and other GeoPard data layers.

1. Management zones based on yield data. Management zones can be constructed based on either one year’s yield data or multiple years. It is important to note that you cannot directly stack yields from different years, as you will get a bias in favor of one of the years.

To reduce this effect, GeoPard applies several algorithms to make the weight of each year even.  You can set the importance of a single year through the Weight tool when you create a Multi-layer map.

Such field management zones can be used to build application/prescription/Rx (VRA) maps, calculating the potential yield in each zone.

Multi-year and multi-layer yield potential map
Multi-year and multi-layer yield potential map

2. Multi-layer zones with yield data and other data sources (topography, soil, sensor, satellite). It can be added to multilayer analytics and set the weight it will have on the final zones.

In this example, three layers of data are added to the map: Yield, Satellite imagery, and Topography. You can combine any data layers you consider relevant for analytics. The multi-layer map can be used for further yield analytics and for creating VRA maps. 

Yield, Topography and Satellite imagery
Multi-layer zones: Yield, Topography and Satellite imagery

3. Yield calculation on zone and field level. To analyze different treatments, seed varieties, and agronomic practices you probably want to compare the average and total yield in each zone, strip, or between fields.

GeoPard automatically calculates this for you to make it easier to compare yield in absolute numbers. 

GeoPard calculates yield in abs numbers based on Yield files. Total and average for field and each zone
GeoPard calculates yield in abs numbers based on Yield files. Total and average for field and each zone

4. Dependency zones based on yield data. Zones based on yield data can be overlaid on other data zones and you can search for dependencies between data layers. This example shows the overlay of high yield and average protein (1) and low yield and high protein (2) of different wheat varieties in a field.

Other examples include the relationship between the influence of topography on yield, the intersection between low yields, and the lack of macro-and micronutrients in the soil, soil moisture, and electrical conductivity (EC) layers.

Intersections of different yield and protein levels
Intersections of different yield and protein levels

5. Variable Rate application (VRA) maps based on yield data.  You can create prescription maps for different operations – fertilizing, seeding, spraying, irrigation, and planning of soil sampling. You can edit the number and shape of the zones.

You can also build a prescription map for a variable rate application by combining yield data with other data sources (soil, EC, satellite, topography). 

Variable rate Seeding rates per zone
Variable-rate Seeding rates per zone

Even if you do not have yield data, you can use GeoPard multi-year zones (up to 33 years) based on satellite imagery or combine it with other data layers like topography to start your precision agriculture journey. These analyses often correlate with yield analytics data, but this is another story.


Frequently Asked Questions


1. How to do yield analysis?

Yield analysis is a process used to assess the productivity and performance of a crop or agricultural system. Here are the steps to conduct a basic yield analysis:

  • Measure the total harvested yield: Collect all the harvested produce from a specific area and weigh it.
  • Determine the area: Measure or calculate the total area of land from which the yield was obtained.
  • Calculate the yield per unit area: Divide the total harvested yield by the area to get the yield per unit area (e.g., yield per hectare).
  • Compare and analyze: Compare the obtained yield with previous years’ data or regional averages to assess the performance and identify any variations or trends.

Yield analysis helps farmers make informed decisions, monitor crop productivity, and identify areas for improvement in their farming practices.

2. What is yield data?

Yield data refers to the information collected and recorded about the amount of crop or agricultural produce obtained from a specific area of land. It includes measurements or estimates of the quantity of harvested yield, usually expressed in terms of weight or volume.

It provides valuable insights into the productivity and performance of crops, helping farmers make informed decisions about their farming practices, assess the effectiveness of different techniques or inputs, and monitor trends or variations in crop yields over time.

3. What is yield potential?

Yield potential refers to the maximum achievable yield or production level of a crop under ideal growing conditions. It represents the upper limit of what a specific crop variety or plant species can yield in terms of quantity and quality.

Yield potential is influenced by various factors such as genetics, environmental conditions, nutrient availability, and management practices. It serves as a benchmark or reference point for farmers and agronomists to evaluate the performance and productivity of different crop varieties and to identify areas where improvements can be made to optimize yield levels.

Partnership with FarmVu

FarmVu Inc., Three Hills, Alberta and GeoPard Agriculture, Cologne, Germany are pleased to announce their successful integration and partnership which combines creative telemetry and soil moisture sensing solutions with a powerful precision ag analytics platform.

Precision Ag consultants now have a flexible tool to connect, display, and automatically process ground sensor data collected with EM38, DualEM, or FarmVu’s soil moisture sensors. The integration of these technologies frees up hours of processing time for consultants. It offers them a powerful precision ag analytics platform to combine sensor data with satellite imagery, topography, yield, soil, as-applied data and analytics to create zone maps and prescriptions their clients can act on.

The use of sensor technology in agriculture is growing rapidly. The success of these technologies depends on our ability to connect, combine, and analyze multiple data layers, including sensor data, to create problem-solving solutions. At the same time, the process has to be simple, fun, and ignite creativity, so we all can find new ways to solve problems in agriculture. That makes the partnership between these two passionate teams a success, and one we can’t wait for users to try. 

About: FarmVu offers consultants, farmers and researchers field scale soil moisture sensing technology along with ground sensor telemetry solutions. Their powerful technology is helping customers optimize water use in dryland and irrigated cropping systems while simplifying the data collection process. 

define the cross section between yield loss more 50% and areas of high soil moisture
Compare and analyze data layers to create actionable zone maps. Here we define the cross section between yield loss more 50% and areas of high soil moisture to measure ROI on drainage solutions.

Partnership with Planet

GeoPard Agriculture team is excited to partner with Planet, the largest earth observation satellite network delivering a near-daily global dataset, to enable its high-resolution and high-frequency satellite imagery data to make Agriculture more sustainable. 

GeoPard expands its spatial agronomic modeling offering including the creation of accurate management zones for Variable Rate application,  multi-layer analyticsvegetation indices based on chlorophyll, and calculating stability zones based on the Planet imagery. 

With access to a near-daily imagery dataset, we at GeoPard will be able to provide VRA maps with the actual almost real-time biomass distribution.

GeoPard management zones based on PlanetScope image and Red Chlorophyll index
GeoPard management zones based on PlanetScope image and Red Chlorophyll index

Dzmitry Yablonski, GeoPard Director: Planet data will enable GeoPard to increase the temporal and spatial resolution of satellite imagery for our clients to make accurate in-season decisions about fertilization, spraying. The value it provides, especially for small and medium-sized growers, is outstanding. We invest a lot in the automation of the creation of VR maps based on the Planet data. It enables accurate decision for soil sampling and variable rate application.

“Planet’s partnership with GeoPard will enable and support agriculture customers to make informed business decisions due to the ability to monitor past and future data yields with our satellite imagery and it’s unprecedented detail”, says Jason Jones Planet’s EMEA Channel and Alliances Director. “We look forward to seeing what Planet’s data and archive married with GeoPards analytics brings to the unique customer base.”

Satellite PlanetScope image
PlanetScope image

 

Cooperation with Kernel

GeoPard and Kernel signed an agreement to work on the application of digital solutions for sustainable agriculture. The collaboration started in the spring of 2020 with the sowing of cornfields at a variable rate based on GeoPard multi-layer maps.

“It is my pleasure to announce the cooperation with one of the largest Ukrainian agricultural company “Kernel” controlling more than 0.5 million hectares (1.2 million acres) of farmland. Ukraine is a major crop player with rich agricultural resources and strong potential. We are excited to provide innovative and effective solutions for holdings and service companies in the Black Sea region.” – Vladimir Klinkov, co-founder of GeoPard Agriculture.

“We are expanding our range of digital solutions through partnership with the GeoPard company. Over the past few years, we have been evaluating different methods for defining and using productivity zones. For large areas, analysis of long-term data on vegetation and yield maps is most suitable. Further, taking into account the productivity of the zones, we adjust the seeding rates and fertilizer rates.” – noted Yevgenii Sapizhenko, Deputy Agribusiness Director for Innovation and Digital Development.

Kernel – the world’s leading and the largest in Ukraine producer and exporter of sunflower oil, and a major supplier of agricultural products from the Black Sea region to world markets. Kernel exports its products into more than 80 countries of the world.

GeoPard Agriculture

Cooperation with Sure Growth Solutions, our partner and distributor

We are excited to announce the partnership with Sure Growth Technologies Inc., professional consultants and passionate agronomists helping growers optimize valuable resources, based in Canada.

By providing coaching services that include Crop Planning, Fertility Planning, Soil and Tissue Testing, Variable Rate and Precision Agriculture Programs, In-Season Scouting Support, Sure Growth ensures profitable precision strategies built on sound agronomy and innovation.

Terry Aberhart, Founder and Agri-Coach said “We are always looking to improve and bring new tools and value to our clients and partners. We are excited to work with the GeoPard team and bringing attentional tools and opportunity to collaborate with other experts that are passionate about the work they are doing to move the industry forward.”.

GeoPard Agriculture

Cooperation with Pfeifer & Langen

GeoPard Agriculture team is proud to cooperate with Pfeifer & Langen, top 3 sugar producer in Germany, on the digital transformation of processes related to sugar beet production and growth monitoring.

Pfeifer & Langen relies on GeoPard historical and in-season field productivity maps, stability maps, zones operations module and mobile application for scouting with support of off-line maps. All this helps to do smart scouting in order to accurately assess the sugar beet development.

Qualitative and smart solutions, a customer-centric approach, that is how long-term collaboration starts. Simon Luyven, Pfeifer & Langen project lead says “It is a pleasure to cooperate with Geopard. Not only the solutions are innovative, but also the service is excellent.”

GeoPard Agriculture

Share Farm and its data

The agricultural business is teamwork.

Frequently it is necessary to share farm data with your ag consultant, agronomist, trusted advisor, farmer, colleague, or service provider. GeoPard has a very simple nevertheless powerful mechanism of sharing your farm data and all the underlying data we provide for you (Satellite monitoring, Zones, Topography) or you uploaded by yourself (Soil data, Yield data, other ingested data layers).

An owner of a farm can give access to it in the “User Profile” -> “Share” section. You put your colleagues’ email and we share the farm and all the data under the farm with another GeoPard account.

screenshot of user profile

An owner of a farm can revoke access at any time by clicking the “Stop sharing” button under the “User Profile” -> “Share” section.

screenshot of user profile “User Profile” -> “Share”

A user who has been shared a farm has some kind of a “read” access to the farm and fields under it. It means that the user, for example, can’t delete the farm. But he is free to delineate new management zones or any other analytics. It can be very useful when you do collaborative preparation of Management zones for planting/fertilizing/spraying.

All GeoPard URLs are bookmarkable, it means that a URL fully contains the state of the application. After you share any GeoPard’ URL with your colleague, he will see exactly the same state of the map that you shared.

With GeoPard Agriculture all the data is under your control and at your fingertips for spatial analysis and Rx files creation.

Art on the field!

part of the field was not seeded

Art on the field!

In this example, GeoPard’s heterogeneity factor is high when the field is partially not seeded, which means more heterogeneity is within the field. This example shows that it works extremely accurately.

A higher heterogeneity factor (GeoPard’s unique index) shows a higher level of heterogeneity within the field → more sense to start to use #precisionAg and Variable Rate technologies.

Foodhub NRW

It is an exciting way to start 2020 joining an innovation platform and community – Foodhub NRW. It connects players in the agricultural and food industry from the field to the shelf in order to jointly develop future-oriented solutions for the industries.

Rethinking food innovation and proactively shaping the future of AgTech together!

GeoPard Agriculture

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