LfL Leverages GeoPard Platform for Its Future Crop Farming Project

Agriculture today faces major challenges. It has to produce high-quality food and raw materials, but increasingly it also has to take into account requirements for the protection of soil, water, climate, and biodiversity.

The Bavarian State Research Center for Agriculture (LfL) has long been conducting research on these challenges and is now testing the GeoPard precision agriculture platform for its Future Crop Farming project.

Dmitry Dementiev, CEO and Co-Founder of GeoPard: “Traditional crop farming methods often face challenges such as inefficient resource management and limited access to real-time data. These factors can lead to suboptimal crop yields, increased costs, and environmental strain.”

GeoPard’s platform provides LfL with a centralized platform to visualize and analyze critical farming data. The platform’s user-friendly interface permits the combination of satellite data and experimental data from the field trial, simplifying complex data interpretation and empowering users to make informed choices that optimize productivity and sustainability.

The field was divided into sections to showcase a specific setup for the trial: LfL has implemented a strip intercropping system, i.e., the simultaneous cultivation of multiple crops in parallel strips in the same field.

These strips can subsequently be employed separately in equations for inputs (such as fertilizer and plant protection) and yield results, enabling the computation of overall field

profit. Moreover, the profits generated by individual crops and the possible impacts at the edges between strips can be assessed.

The collaboration between LfL and GeoPard through the Future Crop Farming project can move forward analysis tools for unconventional field structures.

By leveraging GeoPard’s advanced platform, it can complement its research results and create valuable visualizations for communicating insights from the project to the public.

With a focus on precision farming, productivity, and environmental stewardship, the innovative LfL project showcases the potential for a more sustainable future in crop farming.

PD Dr. Markus Gandorfer, Head of Digitalization and Project Lead at LfL: “It is a pleasure for us to work with the enthusiastic GeoPard team. Deeper insights into our strip-intercropping data enabled by the GeoPard tool are very valuable to us.”


Bavarian State Research Center for Agriculture (LfL) The Bavarian State Research Center for Agriculture (LfL) is the knowledge and service center for agriculture in Bavaria. The applied research of the LfL takes up issues of agricultural practice and provides applicable solutions for agricultural enterprises in various ways.

The interdisciplinary Future Crop Farming project is located in Ruhstorf a.d. Rott in southeastern Bavaria. More information about the project can be found on the project website: http://www.future-crop-farming.de

GeoPard Agriculture is a leading provider of precision farming software. The company was founded in 2019 in Cologne, Germany, and is represented globally. The company offers a range of solutions that help farmers to optimize their operations and increase yields.

With a focus on sustainability and regenerative economics, GeoPard Agriculture aims to promote precision farming practices around the world.

The company’s partners include such well-known brands as John Deere, Corteva Agriscience, ICL, Pfeifer & Langen, IOWA Soybean Association, Kernel, MHP, SureGrowth, and many others.

GeoPard Cooperation with Eurasia Group Kazakhstan

In April 2023, Eurasia Group Kazakhstan and GeoPard Agriculture entered into a partnership agreement to bring the new GeoPard Agriculture solution to the markets of Kazakhstan and Kyrgyzstan.

The two companies share a common goal: to contribute to the sustainable development of agriculture in Kazakhstan by introducing precision farming solutions and optimizing crop production throughout the agricultural year.

The cooperation is aimed to support farmers who are looking for new and practical ways to optimize and automate crop production processes, increase the profitability of their business, and reduce  environmental footprint.

Vladimir Klinkov, Managing Director and Co-founder of GeoPard Agriculture: “We are very excited to launch our solution for precision and sustainable agriculture in the Kazakh market. GeoPard Agriculture utilizes cutting-edge technologies, including cloud computing for processing vast volumes of geospatial data, artificial intelligence, and analyzes field data from all possible sources. The GeoPard team has been working in the field of agriculture and developing digital solutions since 2012, and now it has brought its expertise to the lands of Kazakhstan. We automate precision farming expertise and offer a solution at the most reasonable price with the best quality.”

Customers can manage productivity and analyze factors affecting field heterogeneity and yield, identify locations for soil sampling based on productivity zones, perform field monitoring and scouting, create variable rate application (VRA) maps for seeding, fertilizing, crop protection products, and growth regulators applications.

“The GeoPard Agriculture solution is unique in that it provides comprehensive analytics across a large number of data layers, relying on yield maps, soil analysis, air moisture and vegetation moisture indicators over a multi-year period. The software is based on 35 years of NDVI satellite image data for each specific field, and then, at his discretion, the farmer can load other indicators into it with our help. The program will analyze the data and productivity of the field areas, making prescriptions for further differentiated application of seeds and fertilizers. This, above all, will lead to savings in seeds and fertilizers, and increase the yield and efficiency of the agricultural business,” commented Evgeny Chesnokov, Director of Agricultural Management Division of Eurasia Group Kazakhstan.

The GeoPard Agriculture solution was tested in the fields of Kazakhstan this year and is already actively used by Kazakh farmers.

About the companies:

GeoPard Agriculture is a leading provider of precision farming software. The company was founded in 2019 in Cologne, Germany and is represented globally. The company offers a range of solutions that help farmers optimize their operations and increase yields.

With a focus on sustainability and regenerative economics, GeoPard Agriculture aims to promote precision farming practices around the world.

The company’s clients and partners include such well-known brands as John Deere, Corteva Agriscience, ICL, Pfeifer & Langen, IOWA Soybean Association, Kernel, MHP, SureGrowth and many others.

Eurasia Group Kazakhstan is the Kazakh representative office of Swiss company Eurasia Group AG, an official dealer of John Deere in the Republic of Kazakhstan and Kyrgyzstan since 2002. The company delivers solutions for agriculture from leading world manufacturers like JCB, Väderstad , GRIMME, Lindsay, covering all areas of crop and horticulture.

Eurasia Group Kazakhstan pays great attention during all its activity to the technologies of precise agriculture, completing the line of machinery with products of digitalization of agriculture.

Eurasia Group Kazakhstan has an extensive regional network – 14 regional offices in Kazakhstan and one in Kyrgyzstan, more than 550 employees, of which almost half – after-sales service employees, its own department of agricultural management and digitalization.

Over the years, more than 13,000 units of equipment have been supplied to Kazakhstan and 4.4 million hectares of land have been digitized. This year the company celebrates its 25th anniversary.

GeoPard Agriculture Participated in Smart Farming Days Exhibition

I had a great time at the  Smart Farming Days  exhibition where  GeoPard Agriculture , as a member of the Agrirouter association  DKE Data GmbH & Co. KG , had a stand. It was an excellent opportunity to connect (and reconnect) with  #AgTech  enthusiasts and learn about the latest industry advancements, particularly in machinery data exchange and usage.

Here are some key insights from the event:

Agrirouter  is gaining recognition as a standard in the agricultural industry. More machinery producers are supporting it by default and displaying the “ready for agrirouter” label. In short, Agrirouter is an open data exchange platform that enables seamless data transfer and integration between different agricultural machinery and software solutions.

When discussing trends in  agricultural machinery , I would like to highlight:

  • Versatility , where machines can perform multiple operations in one pass to reduce the number of field visits. For example, the PRIOS 404 exhibited by  GRIMME  combines soil cultivation, potato planting, fertilizing, seed dressing, and ridge shaping.
  • Real-time  calculations on agricultural machinery, such as spot spraying based on computer vision. This approach reduces overall chemical use by targeting specific areas on the run. Check out the exhibited  Ecorobotix ARA .
  • Autonomy  in agricultural machinery.
  • Open data  connectivity.


AgTech from technical universities

I was especially pleased to see the great interest in the development of AgTech from  technical universities  to keep up to date with new developments and share knowledge with students, future AgTech innovators. Regards to  Simon Grebner  and  Maximilian Treiber  from the  Technical University of Munich .

Marc Favier from  RPTU Kaiserslautern-Landau  is leveraging digital farming software to organize a workshop that aims to  educate farmers  about precision farming technologies.

It was exciting also to see more farmers adopting #PrecisionAg tech. I was asked about high-density soil scanners to prepare VR irrigation and fertilizing. Companies like  geo-konzept GmbH  and  Geoprospectors GmbH  offer soil scanning services, and  GeoPard Agriculture  is a handy tool for transforming the data into actionable VRA strategies.

Reporting Ag inputs applications for regulatory purposes is getting attention as well. Farmers need to record field operations, and machinery data about executed operations simplifies the process. There were solutions presented specifically targeting this topic. At GeoPard Agriculture, we are adding the possibility to generate PDF reports from as-applied maps and other analytics.

Fruitful discussion

I also had the opportunity to discuss various topics with industry experts and business partners:

  • The “ Digital Label Compliance ” initiative, expertly explained by  Martin Herchenbach , aims to use standardized digital labels for crop protection. The labels contain information from authorities and manufacturers on how to use the product. Farmers can access the information by scanning a code on the packaging or directly in the Farm Management Systems, which connects to a centralized database.
  • Spot spraying  was a hot topic, and I had an insightful conversation with  Dr. Robin Mink , co-founder of  SAM-DIMENSION  precision farming start-up. Their service involves flying a drone over a field (just 30 minutes for a 40ha field), running weed detection in the cloud, and creating a spraying map. The spraying is then done by a tractor on the same day (could be even 2-3 hours after flight). It allows for optimizing herbicide usage and avoiding visiting non-weed areas. Since the model is cloud-based it can be easily adjusted and retrained based on the new datasets.
  • Nicole Bartelds  highlighted the reporting for regulations topic and the importance of knowing  historical field operations  for better planning. I am looking forward to her training program for farmers, agronomists, and ag consultants on Precision Ag!
  • Gottfried Pessl  emphasized the value of real-time  weather and soil moisture  data for agricultural operations, yield prediction, and historical weather data for land assessments, particularly in vineyards.
  • The importance of  integrating machinery data  into digital farming solutions through platforms like Agrirouter and JD Operation Center was discussed with  Thomas Schilling
  • With  Nikola Strah  we explored the synergies between high spatial and temporal resolution  Planet   remote sensing data  and ground-level data for agricultural insights.
  • With  Tamme van der Wal  and  Matthias Lautenschläger  we delved into the market readiness for precision agriculture adoption topic, emphasizing the need for reliable, affordable, and easy-to-use technologies for farmers. Separately touched on the use of drones for spraying and authorization challenges in Germany and the Netherlands. Tamme, I hope you write the “30 Years of Precision Ag” book someday!

With former colleagues from Bayer Crop Science, Xarvio

Attending AgTech exhibitions is always an enriching experience. By working collaboratively, we can drive positive change and  make farming more sustainable and efficient .

GeoPard Joins EIT Food Accelerator for Agtech Innovation

GeoPard is thrilled to announce their participation in the EIT Food Accelerator Network program. This program is aimed at accelerating the technology revolution in agriculture and food systems.

GeoPard is excited to collaborate with other agtech and foodtech startups from all over Europe and is looking forward to taking part in the upcoming cohort, which is set to start this week.

The EIT Food Accelerator Network is a European network of support programs for startups, which aims to foster innovation and entrepreneurship in the agrifood sector.

The program provides training, mentorship, and resources to help startups accelerate their tech validation and business growth towards successful market adoption.

As a participant in the EIT Food Accelerator Network program, GeoPard Agriculture will have access to a wide range of resources and support, including expert mentorship, investment opportunities, and networking events.

GeoPard Joins EIT Food

This will enable the company to accelerate its development and growth, and to bring its innovative solutions to the market more quickly.

GeoPard Agriculture is a technology company that specializes in precision agriculture. The company’s solutions help farmers optimize their crop management by providing real-time data and analytics on soil moisture, temperature, and other key factors.

By using GeoPard’s technology, farmers can make more informed decisions about irrigation, fertilization, and other important aspects of crop management, which can ultimately lead to higher yields and better quality crops.

The company’s participation in the EIT Food Accelerator Network program is an important step in its growth trajectory.

By collaborating with other startups and receiving support from the program, GeoPard Agriculture will be able to accelerate its development and bring its innovative solutions to market more quickly.

The program’s focus on the technology revolution in agriculture and food systems is also in line with GeoPard’s mission to make agriculture more sustainable and efficient.

Planet Imagery (daily, 3m resolution) for Management Zones Creation

Access to Planet imagery became simpler, faster, and more affordable with GeoPard Agriculture. Since August 2022 GeoPard has released the capabilities to search and analyze only requested Planet images from the user’s preferred date range.

So a GeoPard user requests only preferred Planet images and can use them in GeoPard analytical toolbox.

Planet images extend Sentinel and Landsat coverages (provided by default) and can be mixed with other data layers (harvesting/spraying/seeding machinery datasets, topography profile) via existing Multi-Layer , Multi-Year , and Equation tools


Planet Imagery for Management Zones Creation


Planet  is the largest earth observation satellite network delivering a near-daily global dataset and enables its high-resolution and high-frequency satellite imagery data.

Management Zones Based on Planet Scope (3.5m resolution) imagery.

Read more about GeoPard / Planet Partnership .

What is Planet Imagery And Its Use for Management Zones Creation?

It refers to the satellite imagery provided by Planet Labs, a private company that operates a fleet of small satellites called Doves. These satellites capture high-resolution images of Earth’s surface on a daily basis. The term “3m resolution” means that each pixel in the image represents a 3×3 meter area on the ground. This level of detail allows for detailed analysis and monitoring of various features and changes on the Earth’s surface.

When it comes to management zones creation, Planet Imagery with daily 3m resolution can be highly beneficial for various industries and applications, such as:

  • Agriculture : High-resolution imagery can help in creating management zones in agriculture, where different areas of a field may require different treatments, like irrigation, fertilization, or pest control. By analyzing the imagery, farmers can identify patterns related to crop health, soil moisture, and other factors, enabling them to make better decisions about resource allocation.
  • Environmental management: Satellite imagery can be used to identify and monitor environmentally sensitive areas, such as wetlands, forests, and wildlife habitats. This information can be used to create management zones that protect these areas and ensure sustainable land use practices.
  • Urban planning: High-resolution imagery can help urban planners identify areas of growth, land use patterns, and infrastructure development. This information can be used to create management zones that guide future development and ensure efficient use of resources.
  • Disaster management: Satellite imagery can help in identifying and monitoring disaster-prone areas, such as floodplains or wildfire hotspots. Management zones can be created to establish evacuation routes, allocate resources for disaster response, and inform land use policies that minimize the risk of future disasters.
  • Natural resource management: High-resolution imagery can help in monitoring and managing resources like water, minerals, and forests. By identifying areas of high resource value or scarcity, management zones can be created to ensure the sustainable use and conservation of these resources.

In summary, Planet Imagery with daily 3m resolution is a valuable tool for creating management zones in various fields, providing up-to-date and detailed information that can help decision-makers optimize resource allocation and ensure sustainable land use practices.

Frequently Asked Questions

1. What can the use of imagery help establish?

The use of imagery can help establish a more efficient and effective farming system. By utilizing technologies like drones or satellite imaging, imagery can provide valuable insights into crop health, soil conditions, and irrigation needs.

It aids in identifying areas of concern, such as pest infestations or nutrient deficiencies, allowing farmers to take targeted actions. Furthermore, imagery helps in monitoring crop growth and development, enabling precise decision-making and maximizing yields. 

GeoPard and Strube collaboration

GeoPard Agriculture is proud to announce that Strube D&S GmbH , known worldwide for the great diversity of high-quality seeds, has joined the GeoPard partner program.

Customers of Strube BeetControl app (the precise analysis and prognosis of leaf diseases) will now be able to streamline their workflow with GeoPard powerhouse analytics including monitoring, scouting and adoption of precision agriculture practices.

GeoPard is used to determine exact location where nematodes are potentially present on sugar beet fields. Nematode damage detection is based on a remote sensing and historical development of the field. Soil samples are analysed for nematodes at the Strube laboratory, followed by advice from a cultivation consultant.

GeoPard integration with UP42

GeoPard and UP42 are proud to announce technical partnership between the platforms.


GeoPard analytical blocks are now available at the UP42 GIS marketplace and include the following capabilities:

  • Integrated satellite constellations: Pleiades, Pleiades NEO , SPOT
  • Supported vegetation indices : NDVI, EVI, SAVI, NDWI
  • The output in COG format (Cloud Optimized GeoTIFF)


The integration will allow Up42 clients to get access to the advanced crop (without limitation to only crops) monitoring using GeoPard satellite imagery processing algorithms.

GeoPard analytical block is used to calculate NDWI on top of 30cm resolution Pleiades NEO.
GeoPard analytical block is used to calculate NDWI on top of 30cm resolution Pleiades NEO.



Dmitry Dementiev, GeoPard’s CEO: “Technical partnership with UP42 allows UP42 clients to use novel GeoPard’s geospatial analytics, including the processing of satellite images at high scale and unpreceded speed for such huge datasets. The analytical derivatives could be used for prescriptive precision agriculture, regenerative/ carbon farming, and high temporal and spatial crop monitoring.
It also indicates the ambition of GeoPard to be integrated with the most advanced technology platforms in the world .”


Earlier GeoPard team announced integration with JohnDeere (the biggest producer of agricultural machinery and equipment) via MyJohnDeere Operation center platform (the biggest by acres digital ag platform in the world), and Planet – a satellite imagery company with the biggest amount of satellites.


GeoPard Field Potential maps vs Yield data

GeoPard Field Potential maps very often look exactly like yield data.

We create them using multi-layer analytics of historical information, topography, and bare soil analysis.

The process of such synthetic Yield maps is automated (and patented) and it takes about 1 minute for any field in the world to generate it.


GeoPard Field Potential maps vs Yield data

Can be used as the basis for:

    What are Field Potential maps?

    Field potential maps, also known as yield potential maps or productivity potential maps, are visual representations of the spatial variability in potential crop yield or productivity within a field. These maps are created by analyzing various factors that influence crop growth, such as soil properties, topography, and historical yield data.

    These maps can be used in precision agriculture to guide management decisions, such as variable-rate application of fertilizers, irrigation, and other inputs, as well as to identify areas that require specific attention or management practices.

    Some key factors that are typically considered when creating field potential maps include:

    1. Soil properties: Soil characteristics such as texture, structure, organic matter content, and nutrient availability play a significant role in determining crop yield potential. By mapping soil properties across a field, farmers can identify areas of high or low productivity potential.
    2. Topography : Factors like elevation, slope, and aspect can influence crop growth and yield potential. For example, low-lying areas may be prone to waterlogging or have a higher risk of frost, while steep slopes may be more susceptible to erosion. Mapping these topographical features can help farmers understand how they affect productivity potential and adjust their management practices accordingly.
    3. Historical yield data: By analyzing historical yield data from previous years or seasons, farmers can identify trends and patterns in productivity across their fields. This information can be used to create these maps that highlight areas of consistently high or low yield potential.
    4. Remote sensing data: Satellite imagery, aerial photography, and other remote sensing data can be used to assess crop health, vigor, and growth stage. This information can be used to create these maps that reflect the spatial variability in crop productivity potential.
    5. Climate data: Climate variables such as temperature, precipitation, and solar radiation can also influence crop growth and yield potential. By incorporating climate data into these maps, farmers can better understand how environmental factors affect productivity potential in their fields.

    They are valuable tools in precision agriculture, as they help farmers visualize the spatial variability in productivity potential within their fields. By using these maps to guide management decisions, farmers can optimize the use of resources, improve overall crop yields, and reduce the environmental impact of their agricultural operations.

    Difference between Field Potential maps vs Yield data

    Field potential maps and yield data are both used in precision agriculture to help farmers understand the spatial variability in their fields and make better-informed management decisions. However, there are some key differences between the two:

    Data sources:

    These maps are created by integrating data from various sources, such as soil properties, topography, historical yield data, remote sensing data, and climate data. However, this data is collected using yield monitors installed on harvesting equipment, which record the crop yield as it is harvested.

    Temporal aspect:

    These maps represent an estimation of the potential productivity of a field, which is generally static or changes slowly over time, barring significant changes in soil properties or other influencing factors. However, yield data is specific to a particular growing season or multiple seasons and can vary significantly from year to year based on factors like weather conditions, pest pressure, and management practices.

    In summary, field potential maps and yield data are complementary tools in precision agriculture. These maps provide an estimate of the potential productivity of a field, helping farmers identify areas that may require different management practices. Yield data, on the other hand, documents the actual crop output and can be used to assess the effectiveness of management practices and inform future decision-making.

    5G network in Agriculture. Grant from the state of North Rhine-Westphalia.

    We are glad to announce that the “5G networks as an enabler for real-time learning in sustainable farming” project was selected for partial funding by the Ministry of Economic Affairs, Industry, Climate Action and Energy of the State of North Rhine-Westphalia .


    Ministry of Economic Affairs, Industry, Climate Action and Energy of the State of North Rhine-Westphalia.

    The project is researching how 5G can be used to make the agricultural process more ecological, economical and sustainable. The low latency of 5G makes it possible to integrate information technology systems into the process in real time and to react to sensor and position data within defined response times.

    Together with our partner HSHL and the associated partner Pfeifer & Langen , the process of sugar beet cultivation from initial planting to harvesting is being examined on the partner’s fields to show how 5G can act as an enabler technology in the agricultural sector of NRW.


    Project kick-off meeting on the field with representatives of Hochschule Hamm-Lippstadt, FlyPard Analytics GmbH and Pfeifer & Langen GmbH & Co. KG.

    Project kick-off meeting on the field with representatives of Hochschule Hamm-Lippstadt , FlyPard Analytics GmbH and Pfeifer & Langen GmbH & Co. KG .

    Role of 5G Network in Agriculture

    5G networks, characterized by improved connectivity, reduced latency, and high-speed data transmission, possess the potential to substantially impact the agricultural industry. This state-of-the-art technology can accommodate various applications and innovations in agriculture, resulting in heightened efficiency, sustainability, and productivity. The following are some primary functions of 5G networks in agriculture:

    • Precision agriculture: 5G connectivity allows for real-time data acquisition, processing, and analysis from multiple sensors and devices, such as soil moisture sensors, weather monitoring stations, and drones. This empowers farmers to make data-informed decisions and implement precision agriculture practices, including targeted irrigation, fertilization, and pest management.
    • Remote monitoring and control: The reduced latency and high-speed data transfer capabilities of 5G networks enable real-time remote supervision and control of farming equipment and machinery. This leads to more effective resource allocation, lowered labor costs, and enhanced safety.
    • Autonomous farming: 5G networks facilitate the deployment of autonomous farming equipment, including self-driving tractors, harvesters, and drones. High-speed connectivity and low latency allow these machines to communicate with each other and make real-time adjustments, improving efficiency and minimizing human intervention.
    • Smart livestock management: 5G connectivity supports the use of IoT devices, such as smart collars and wearables, to monitor livestock health, location, and behavior in real-time. This helps farmers optimize feeding, breeding, and healthcare strategies, improving animal welfare and productivity.
    • Supply chain traceability: 5G networks can aid in the implementation of blockchain technology and IoT devices to monitor and track agricultural products throughout the supply chain. This improves traceability, strengthens food safety, and reduces waste.
    • Enhanced rural connectivity: 5G networks can help bridge the digital divide by providing high-speed internet access to rural and remote areas. This allows farmers to access online resources, tools, and services, fostering knowledge sharing, capacity building, and market access.
    • Virtual and augmented reality: 5G network can support the use of virtual and augmented reality applications in agriculture, such as remote training, equipment maintenance, and crop monitoring. This assists farmers in acquiring new skills, enhancing decision-making, and increasing efficiency.

    In summary, 5G networks can play a vital role in modernizing and transforming the agricultural sector by enabling a wide array of applications and innovations. High-speed connectivity, reduced latency, and enhanced capacity of 5G can support the adoption of advanced technologies, resulting in increased productivity, sustainability, and overall growth in the industry.

    GeoPard successfully passed the RootCamp accelerator program

    About 300 companies applied for participation in the intense three-month Acceleration Program by RootCamp. But only 7 of them have been chosen as international AgriTech startups to join.

    One of them is an agriculture intelligence platform based in Cologne, Germany called GeoPard. In short, GeoPard helps to automate the agronomic workflows like season planning, to fertilize, seeding, harvesting, and so on by streamlining them all in one system.

    To do so, GeoPard uses cutting-edge spatial data analytics and AI algorithms and focuses on making sustainable and profitable precision agriculture solutions accessible and affordable to all agribusinesses.

    Data products provided by GeoPard include soil sampling analytics, crop monitoring, field benchmarking, and Variable Rate application maps for agricultural in-season operations (like seeding, fertilizing, crop protection, and herbicides).

    Some Unique Data Products of GeoPard Presented in Rootcamp

    GeoPard focuses on building a Digital Twin of any agricultural field by aggregating all available data layers obtained through various methods and technologies. Moreover, some of the salient advantages that make GeoPard stand out from a crowd of similar products include:

    1. An attractive business model for all business sizes: GeoPard users only pay for consumed analytics with no extra costs. GeoPard offers several plans to choose from according to the customer’s size.

    The pricing model is based on an AWS-like pay-as-you-go credits approach that ensures that our offer remains affordable for all sizes of agricultural businesses. GeoPard also boasts a service that ensures delivery of the branded precision agriculture solution in just 2 weeks.

    2. Independence and non-biasedness: About 0.5M data points are generated per day per farm as of 2021 and this number will be x6 during the next 10 years.

    As data becomes more and more valuable, their security and protection become equally important, especially while dealing with massive data like this. So it is noteworthy that GeoPard is not affiliated with any agricultural corporation and all the data is owned by the user and is definitely not for sale.

    3. Level of automation and analytics capabilities: The whole point of precision agriculture is to optimize the usage of agricultural inputs and maximize yield via data-driven decisions.

    Efficiently dealing with such a huge amount of data requires increasing automation and decreasing manual work. GeoPard achieves this by establishing a platform that automatically collects data layers, standardizes them, and streamlines agricultural field insights on top.

    So GeoPard customers focus on efficient data-driven decisions instead of struggling with manual data processing.

    Another highlight of GeoPard is its user-friendly web and mobile interfaces. Along with the web and mobile interfaces, GeoPard provides integration capabilities like API, widgets, White Label, and On-premise solutions.

    GeoPard also provides a quick assistance service that can help customers anytime. Ongoing communication with the customers and partners, consultants, and business is of prime importance in both the past and future of this company.

    GeoPard aims to improve the adoption of precision farming technologies, ensure efficient and sustainable crop production, and offer high-quality and adaptable data products.

    The overall operation of GeoPard in the field of sustainable precision agriculture is based on using the most sophisticated technologies for data capturing, streamlining of analytics, and dissemination while ensuring that customers have the most practical experience and the highest ROI using data products from GeoPard.

    Having specialized in precision farming technologies to maximize the efficiency of all agribusinesses, GeoPard plans to venture more into data products for sustainability, biodiversity, and carbon sequestration in the future.

    To dive deeper into GeoPard, its services, its vision, and its plan for the future from one of the founders, you can watch this video or read more on this blog .

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