Assessment swarm/differentiated sowing maize+sunflower

Posted on 13. May 2025 by Moritz Gaßan

Assessment swarm

Drones have become indispensable tools in agriculture in recent years and we have been using them successfully for years. The prompt availability of the collected data is a crucial prerequisite for being able to control agricultural processes efficiently.

However, this is where current technologies reach their limits. The high demand for detailed plant information leads to a conflict of objectives between spatial resolution and area performance. Innovative solutions are needed to increase the productivity of drone use and open up new application possibilities. To this end, we have initiated the assessment swarm project.

Launch of a Pathfinder drone from the assessment swarm, this takes over the preliminary exploration

Practical applications

The long-term success of a project depends largely on the results offering real benefits in practice. To this end, practical scenarios and requirements for the use of a drone swarm were determined by carrying out inspections with individual drones.
Furthermore, we are in continuous contact with our farms to ensure that the scoring swarm is optimally adapted to the needs of the farmers.

The following scenarios have been implemented in practice to date:

N uptake NDRE

Yield mapping of winter cereals without rapeseed

Corn yield mapping

Field emergence → emergence rate

Biomass NDVI → Comparison of trial elements

Growth height

Degree of cover

Here are some pictures:

Alternative to yield mapping combine harvester in winter wheat

Yield mapping using a multispectral drone is possible in WW, shown here is the regression analysis between yield from a yield mapping MD and the index NDRE from an aerial survey in a defined time before the harvest.

Determination of emergence rate in maize

Digital estimation frame for maize emergence, automatic counting not possible here due to high weed cover

Bonitur Biomasse (NDVI) in Versuchen

Trial underfoot fertilization maize, significantly different biomass values in the test elements, finally leads to significantly different yields

Grassland assessments using drones are in preparation:

  • Yield estimation dry matter from grass height/vegetation index
  • Mapping ragwort and other poisonous plants

Current planning of differentiated maize/sunflower sowing, monitoring results through trials

The differentiated sowing of maize has become much more important in practice in recent years. The local conditions of the individual sections of a field are taken into account: Higher seed rates are used on better soils than on less productive soils. The farmer determines the range of seed rates on the basis of variety recommendations and/or his own experience.

Base map from yield data based on satellite data
here seven classes from 1 – worse soil to 7 – better soil

Since 2021, we have been creating differentiated seed maps for maize and sunflowers, among others. An OFR (on-farm research) trial in sunflowers has already shown significant positive effects on yield. This year we are planning to carry out trials in maize as well.
If you are interested in such trials and if you have a forage harvester with yield mapping and an optional NIRS sensor, please contact us (see contact details below)!

Yield detection/NIRS sensor JD forage harvester, factory photo

Ask us, we look forward to your tasks! We specialise in company-specific solutions, we value you and your challenges =;-).

Our contact details are:

exagt@exagt.de or personally:

moritz.gassan@exagt.de
+49 (0) 170 365 2072, +49 (0) 34324 269739

arnim.grabo@exagt.de
+49 (0) 176 72588814, +49 (0) 34324 269737

Posted in Agronomy, Technology | Comments Off on Assessment swarm/differentiated sowing maize+sunflower

On Farm Research (OFR) – research on your own farm, a foundation for knowledge-based decision-making

Posted on 13. May 2025 by Moritz Gaßan

In DLG Mitteilungen 3/2025, there is a very interesting article by Detlev Dölger under the heading “Consulting. It is becoming more individual” (https://www.dlg-mitteilungen.de/artikel/beratung-es-wird-individueller). Here are a few statements summarized and supplemented by our opinion:

In the field of advice and research in agriculture, German farmers have so far benefited from a broad network:

  • Universities and research institutions for basic knowledge,
  • government advice for practical implementation,
  • private consultancy, industry and agricultural trade as complementary players.

But this structure is beginning to falter. Universities are increasingly focusing on highly specialized research (in biology, for example) rather than on systemic agricultural issues. At the same time, government and societal interests are steering research funding – often bypassing the needs of the field.

The result:

  • Training and research lose touch with real farm issues.
  • Universities of applied sciences can only close this gap to a limited extent.

Where is there still research for practical use that does not depend on special interests? (Detlev Dölger)

Individualization instead of standard solutions

Agriculture is facing fundamental changes:

  • Climate change is leading to drier summers and uncertain yields, while rainfall is becoming increasingly small-scale and heavy.
  • Farming methods are more diverse than in the past (tillage, integration of cover crops).
  • Markets are more volatile nowadays.
  • Carbon farming and agroforestry open up additional sources of income.
  • Neighboring farms can also take very different paths.

However, while simple solutions such as grass-effective herbicide-supported narrow crop rotations used to be sufficient, customized approaches are needed today. This overtaxes traditional trial systems – because what works for one farm may fail for its neighbor.

How can practical knowledge be gained?

Cross-farm exchange by looking at pioneering farms:

Networks such as the Society for Conservation Tillage (GKB) show how experience transfer can succeed.

International knowledge transfer is becoming increasingly important.

Farmers need to network more; not everyone has to do everything alone.

If changes or even a complete system change is to be implemented in your own practice, it is important to check the effectiveness on your own farm on your own land or, if necessary, to adapt solutions to local conditions.

This can be checked on the farm with your own trials. What is important here is

  • Simple implementation: trial systems should be easy to implement.
  • Meaningful results: The trials must provide clear, statistically reliable answers to farm-specific questions.
  • Cost efficiency: The costs of the trials should be economically justifiable.

We at EXAgT have more than 10 years of experience with OFR trials. By working together with our colleagues from AgDoIT, we have been able to take big steps towards standardized/automated trial planning including practical trial equipment and statistically reliable evaluation in the IFR (ISO Farmresearch) project, which won an award at Agritechnica 2023.

We supervise a large number of trials every year according to uniform quality standards and manageable costs!

We are happy to help you establish trial collaborations and, if possible, can also look for funding opportunities for trials.

Ask us, we look forward to your tasks! We specialise in company-specific solutions, we value you and your challenges =;-).

Our contact details are:

exagt@exagt.de or personally:

moritz.gassan@exagt.de
+49 (0) 170 365 2072, +49 (0) 34324 269739

arnim.grabo@exagt.de
+49 (0) 176 72588814, +49 (0) 34324 269737

Figure 1: Automated trial system implemented as an application map, trial design large plot trial, growth regulator trial elements constant, variable according to satellite and map
Figure 2: Relative yield mapping of winter wheat derived from drone recordings, converted into real yields in the trial evaluation.
Figure 3: Result with the differences between the test members, both in absolute terms and as a percentage, as well as the calculated p-value in order to be able to assess the statistical reliability of the results
Posted in Agronomy | Comments Off on On Farm Research (OFR) – research on your own farm, a foundation for knowledge-based decision-making

Differentiated maize sowing, check effects with OFR trials?

Posted on 13. May 2025 by Moritz Gaßan

Why differentiated seed in maize?

Site-specific sowing in maize has been used more and more widely in practice for several years. The underlying agronomic rules (better soils with higher water storage capacity → higher sowing rate, poorer soils with poorer water storage capacity → lower sowing rate) are convincing, and implementation is “problem-free” thanks to the widespread market penetration of modern precision seeders with the application map processing option.

Figure 1: Precision seeder planting maize, picture Amazone

Effects of differentiated sowing, OFR vs. exact trials!

When evaluating the effects of precision trials, both positive and negative results can be found in the literature when using this technology.

Differentiated sowing as a precision farming method is based on the heterogeneity of yield formation on the specific field and this can only be validly recorded if this spatial variability is specifically included. The classical trial system strives for conditions that are as homogeneous as possible, which runs counter to the logic of site-specific technology. By definition, OFR trials in large plots take into account the natural differences in the area. In the evaluation, high data densities through spatial autocorrelation, plus area-wide information layers and powerful geostatistical methods ensure meaningful and statistically reliable results.

Problem of yield recording?

For many years, the lack of yield mapping during harvest was a problem for OFR trials in silage maize. The current wider availability of forage harvesters with yield recording and remote sensing methods (multispectral drone, satellite data) has solved this “problem”.

What is being examined?

Offers for differentiated sowing are available from a large number of companies. Most methods use automatically generated yield potential maps from satellite data as a basis; we use a typical relative yield map of the field from the last 7 years (based on Sentinel-2). If available, the most accurate data basis for us is the recording of soil heterogeneity by means of a conductivity analysis (Top Soil Mapper, EM 38).

In our tests, we limit ourselves to our own product range and that of a second supplier; transferability of the results to other products is only possible through targeted additional OFR tests.

Test set up!

The trial system is realized by the automated trial planning of our colleagues from AgDoIT. Variety recommendations from breeders and/or farmer specifications form the basis for the variation in seed rates. The application maps are transferred and processed in the desired format via wireless data exchange tools or, if necessary, with a USB stick on the device/tractor terminal.

Figure 2: A trial plant differentiated seed in maize

What next?

We accompany the trials with regular assessments based on remote sensing data (multispectral drone/satellite) in order to record and evaluate growth differences on a site-specific and temporal basis. The yield is determined by means of yield mapping and in parallel by remote sensing algorithms and then the trials are finally evaluated.

Ask us, we look forward to your tasks! We specialise in company-specific solutions, we value you and your challenges =;-).

Our contact details are:

arnim.grabo@exagt.de
+49 (0) 176 72588814, +49 (0) 34324 269737

andreas.schmidt@exagt.de
+49 (0) 173 352 8960, +49 (0) 34324 269739

Posted in Agronomy | Comments Off on Differentiated maize sowing, check effects with OFR trials?

Saving a trial after a supercell

Posted on 12. September 2024 by Moritz Gaßan

As anyone involved in agricultural trials knows, setting up and supervising a trial involves considerable effort. Not to mention the knowledge gained from such trials!

It is more than a little frustrating when something goes wrong in the final phase, e.g. due to a severe weather event. This is exactly what happened to us during an experiment in 2024.

…On 18.06.2024, a so-called supercell caused severe damage in the Saxon district of Meißen: Trees were uprooted and houses were partially covered.
Two parallel 380 kV power lines were also affected. A total of 17 pylons were knocked down by the violent storm…

Figure 1: A high-voltage pylon toppled during the event, photo by 50Hertz

Two high-voltage pylons stood at the edge of our test, and during the storm they fell into the trial areas.

Figure 2: Masts and trial site BEFORE the storm

Figure 3: Poles and trial site AFTER the storm, fallen poles top left in the field

Due to the toppled masts and the traffic during the securing measures, a proper harvest including yield mapping was no longer possible in some places. As there was only room for three repetitions on the plot, the trial could no longer be evaluated with statistical certainty.

Figure 4: Data from yield mapping

Multispectral drone flights to the rescue

Rather coincidentally, we flew over the area with our Phantom P4 RTK and its multispectral camera the day before the storm event. It is known from the literature that the yield data can be derived from the NDRE index from a certain period before the harvest.

Abbildung 5: Berechnung des NDRE Index aus NIR und Red Edge Orthophotos

Figure 6: NDRE index calculated from the drone data

This correlation could also be proven here with the help of the yield data from the unaffected area of the trial and the drone data.

Figure 7: Correlation NDRE to yield from yield mapping

On this basis, a fictitious yield map without storm effects was calculated for the entire trial area, making the trial evaluable again!

Figure 8: Fictitious yield map in a 1m grid as the basis for the trial evaluation

Ask us, we look forward to your tasks! We specialise in company-specific solutions, we value you and your challenges =;-).

Our contact details are:

exagt@exagt.de or personally:

moritz.gassan@exagt.de
+49 (0) 170 365 2072, +49 (0) 34324 269739

arnim.grabo@exagt.de
+49 (0) 176 72588814, +49 (0) 34324 269737

Posted in Agronomy, Technology | Comments Off on Saving a trial after a supercell

Differentiated basal fertilization – an insight into the EXAgT system

Posted on 30. July 2024 by Moritz Gaßan

The value of correctly applied basal fertilization is and remains a part of crop production that should not be underestimated and plays a significant role in the harvest result. Deficits in the basal nutrient supply cannot be easily compensated for. As early as the 19th century, Justus von Liebig taught us that nutrients are not interchangeable; from our long agronomic experience, we have a fundamental skepticism about alternative approaches.

In practice, basal fertilization usually follows a relatively similar pattern. Soil samples are taken either by the farmers themselves or by the service provider in a 3-ha grid and then the mean values of the laboratory data are used to determine uniform fertilizer quantities for each field. However, potential is wasted here, especially in the case of GPS-supported measurements.

Figure 1: Field with very large variations in the P content of the soil. Here, differentiated basal fertilization in the sub-area enables savings on the one hand and a needs-based supply on the other.

Exploit potential with little additional effort

If a farm receives GPS-supported soil samples in a 3-ha grid, it has excellent basic conditions for differentiated basic fertilization. Normally, no additional technology, software or training is required. EXAgT offers site-specific basal fertilization planning as a service for €1.50/ha per nutrient – an inexpensive introduction to this technology.

Figure 2: Nutrient distribution and distribution maps for lime, P, K, Mg,
The differences between the various nutrients can also be clearly seen here

The advantages are clear: less waste of expensive fertilizer and a better supply of particularly undersupplied sections.

The software solutions used by EXAgT

In the area of differentiated basal fertilization, EXAgT can rely on two software solutions.

Firstly, a plugin developed by us and only used internally by us, which enables site-specific fertilization planning directly in QGIS.

Figure 3: A look at basal fertilization planning using the EXAgT QGIS plugin

On the other hand, the NAVIKAT application planner, a software solution for the “last step” on the way to the terminal, is available to everyone.

The software can be used in the following areas:

  • Import of already created site-specific nutrient maps, e.g. in shape format and export in ISOBUS and John Deere terminal format.
  • Use of management zone maps created by service providers. This involves dividing a field into fixed sub-areas that have homogeneous basic characteristics. These management zones are then treated differently for the various measures by assigning different quantities of inputs to the sub-areas. These can in turn be exported to the ISOBUS and John Deere terminal format.

The NAVIKAT application planner costs 950,- € without VAT and can be purchased in our webshop, a support and software maintenance contract is available via GIS GmbH.

Ask us, we look forward to your tasks! We specialise in company-specific solutions, we value you and your challenges =;-).

Our contact details are:

exagt@exagt.de or personally:

moritz.gassan@exagt.de
+49 (0) 170 365 2072, +49 (0) 34324 269739

arnim.grabo@exagt.de
+49 (0) 176 72588814, +49 (0) 34324 269737

Posted in Agronomy, Technology | Comments Off on Differentiated basal fertilization – an insight into the EXAgT system

R&D projects with EXAgT participation, current status

Posted on 1. July 2024 by Moritz Gaßan

Assessment Swarm

Our joint project “Boniturschwarm” of the TU Dresden, Chair of Agricultural Systems Engineering and EXAgT GmbH has been running for three months as part of LAND.VISION.

The aim of this project is to increase the productivity of the use of commercially available drones without having to use large, cost-intensive drones with their high investment/insurance and training requirements.

By (pre-)processing the images in the field, the overall processing time from drone flight to a scoring and application map is to be greatly reduced.

Anyone who has “stumbled” across my WhatsApp status messages recently has been able to get an impression of our current work. This consists of compiling and describing various deployment scenarios as well as practical flights with a single drone to collect data as material for a future photogrammetric processing route.

In addition to the project, we (the EXAgT and some employees of the TU Dresden) were instructed by an experienced drone pilot (Fabian Naumann from Apus Systems) in the manual control (also without GPS) of different types of drones and practiced this in detail.

Figure 1: Practical drone flight training, here with Fabian Naumann from Apus and Samuel Pantke and Benjamin Striller from TU Dresden.

The project has now been running for a year. One of its aims is to develop a digital toolbox for on-farm experiments that will enable farmers, both independently and in cooperation with consultants, researchers, companies and colleagues, to efficiently investigate practically relevant experimental questions on their own farms. This toolbox will serve as an assistant for the planning, implementation and evaluation of experiments.

As part of the team, we contribute our many years of practical expertise in the field of PiG/OFR trials. Our contributions range from defining the requirements for the QGIS plug-in for OFR planning to providing an OFR manual.

Figure 2: Experimental plant of an OFR trial of the use of foliar fertilizer in spelt

Ask us, we look forward to your tasks! We specialise in company-specific solutions, we value you and your challenges =;-).

Our contact details are:

arnim.grabo@exagt.de
+49 (0) 176 72588814, +49 (0) 34324 269737

andreas.schmidt@exagt.de
+49 (0) 173 352 8960, +49 (0) 34324 269739

Posted in General, Technology | Comments Off on R&D projects with EXAgT participation, current status

GPS innovations for end users, drone flying – a gimmick?

Posted on 29. May 2024 by Moritz Gaßan

While the news has recently been dominated by GPS interference from Russia at its borders and in the Baltic Sea, there have also been positive developments.

The media hype surrounding the European GPS alternative/supplement Galileo has died down in recent years, RTK receivers have become affordable and the SAPOS correction signal is free everywhere in Germany. Negative for the providers but good for the customer, competition has been increasingly based on price since the appearance of good quality and inexpensive chipsets and antennas.

The L5 band opens up new possibilities

GPS, Galileo and QZSS (Japan) now all offer the L5 frequency band in addition to L1 and L2, and with new affordable chipsets and antennas you can take advantage of this band. These are

  • Greater accuracy: Positioning is more precise, especially in dense urban canyons and under trees (even under foliage) partly due to a faster data transmission rate (10 times higher than with L1).
  • Less interference: Multipath errors due to signal reflections are better suppressed.

Benefit soon!

We will be offering this new technology later this year, giving you even more precise and reliable surveying solutions!

See field report (german): https://www.optimalsystem.de/os/docs/2024-04-29-f10n-urban.pdf.

Drone flying – a gimmick?

Recently, I have been “accused” of my activities as a drone pilot being just a “gimmick” and not real work. However, the actual flying and evaluation of the data currently takes up a large part of my working time.

First of all, it should be noted that a flight is not an end in itself; every mission is preceded by a specific question from a customer.

Preparation:

Every flight is thoroughly planned. The area to be flown over is transferred to the flight planning software and the flight plan is created based on the desired ground resolution.

Execution:

At the deployment site, the flight direction is adjusted to the wind conditions and the connection is established with the relevant SAPOS service. The actual flight is largely autonomous, with me monitoring the drone and changing the battery if necessary.

Evaluation:

Back in the office, I create an orthophoto (georeferenced aerial image) and carry out the image analysis. Under optimal conditions (SAPOS/RTK, low wind), this is usually done automatically, but can become more complex in adverse conditions.

Two practical examples:

Figure 1: Aerial survey to determine the emergence rate, on the left the flight planning, on the right a generated digital estimation frame 1x1m² above the orthophoto as an aid for “plant counting”.

Figure 2: Overview flight for a test, left flight planning, right orthophoto as layer in QGIS

Admittedly, the accusation of “gimmickry” is not easy to refute. However, I am aware of the high effort and quality of my work, and my customers confirm this by accepting our invoices 😉 .

Ask us, we look forward to your tasks! We specialise in company-specific solutions, we value you and your challenges =;-).

Our contact details are:

arnim.grabo@exagt.de
+49 (0) 176 72588814, +49 (0) 34324 269737

andreas.schmidt@exagt.de
+49 (0) 173 352 8960, +49 (0) 34324 269739

Posted in Technology | Comments Off on GPS innovations for end users, drone flying – a gimmick?

News from ISO FARM RESEARCH (IFR)

Posted on 6. May 2024 by Moritz Gaßan

At Agritechnica 2023, AMAZONE, EXA Computing, geo-konzept, Hanse-Agro, the Kiel University of Applied Sciences, the start-up AgDoIT and we received the DLG-Agrifuture Concept Winner award.

Now it’s time to turn this concept into reality! We started with the automated trial planning module, for which our colleagues from AgDoIT programmed an initial version of the planning tool using the knowledge and experience of EXAgT.

Testing/further development and troubleshooting are carried out in parallel with the use of the software in real OFR trials.

Among other things, we are supervising a trial on underfoot fertilisation in maize with a project partner. In this case, for technical reasons, it cannot be set up using an application map, and the necessary randomisation of the test elements in each block makes it difficult to set up a reliable test system. In this case, lane planning is necessary, whereby each individual test element is planned in all repetitions using a full lane and implemented one after the other in the tractor terminal via RTK autopilot.

Figure 1: Automated test facility with full-track planning for test link A

IFR at the Amatechnica

On 23.05.2024 our partner Amazone is organising its in-house exhibition Amatechnica. Our colleagues from AgDoIT will have the opportunity to present IFR at this event, and we will be there to support them! We will announce more details in the run-up to the trade fair.

Ask us, we look forward to your tasks! We specialise in company-specific solutions, we value you and your challenges =;-).

Our contact details are:

arnim.grabo@exagt.de
+49 (0) 176 72588814, +49 (0) 34324 269737

andreas.schmidt@exagt.de
+49 (0) 173 352 8960, +49 (0) 34324 269739

Posted in Agronomy, Technology | Comments Off on News from ISO FARM RESEARCH (IFR)

agra 2024 – we’re there!

Posted on 10. April 2024 by Moritz Gaßan

agra will take place at Messe Leipzig from the 11th to the 14th of April 2024. We can be found in Hall 2 at Booth D34 together with the GIS GmbH. On the 13th of April at 11:30 Andreas Schmidt will give a presentation “Digital Innovations in On Farm Research” at the AgriFood Innovation Forum in Hall 2 at the Saxony Trade & Invest Corp. at booth D16.

We look forward to your visit!

These are the topics we want to present to you at agra:

Our services in the area of field maps, the preparation of balance sheets and fertiliser requirement calculations as well as agricultural aid applications

It is becoming increasingly difficult to keep track of the legal regulations, including the Fertiliser Ordinance, Plant Protection Act and conditionalities. We offer the creation of field maps, field and farm-related, in compliance with all regulations and guidelines in order to fulfil all documentation obligations. In particular, we calculate the fertiliser requirements for nitrogen and phosphorus to comply with the Fertiliser Ordinance, provide soil sample materials and draw up fertiliser balances.

Conditionalities, ecological rules and agri-environmental measures – we provide support and advice on applications for direct payments and area-based agricultural subsidies.

Precision farming (PF) with in-house equipment WITHOUT the need for your own sensors and software

The use of PF often means considerable expense for interested companies. On the one hand in the purchase/subscription of the necessary technology/software and even more so in the area of personnel deployment such as working hours/training/(annual) familiarisation.

We offer our help here. Our services are focussed on

Site-specific work with application maps

  • Fertilisation after autumn scan satellite
  • N-fertilisation, growth regulators
  • Basic fertilisation
  • Maize/cereal sowing

Fixed lanes/CTF light

Lane planning taking into account the

  • Hoeing technology requirements
  • Sprayer requirements

Trials without special trial technology on your fields

  • The trial system and harvesting can be integrated into the normal production process.
  • statistically reliable
  • OFR/IFR/PiG
Figure 1: Our joint booth in 2019 with GIS GmbH

Ask us, we look forward to your tasks! We specialise in company-specific solutions, we value you and your challenges =;-).

Our contact details are:

arnim.grabo@exagt.de
+49 (0) 176 72588814, +49 (0) 34324 269737

andreas.schmidt@exagt.de
+49 (0) 173 352 8960, +49 (0) 34324 269739

Posted in General | Comments Off on agra 2024 – we’re there!

Application maps for growth regulators / Project “Boniturschwarm” (assessment swarm)

Posted on 28. March 2024 by Moritz Gaßan

Starting this year, we have been using our expertise not only to plan application maps for fertilisation, but also for growth regulators. As with N fertilisation, this is based on satellite data. As usual with EXAgT, we support you with our professional plus technical expertise from planning/data collection to reading into the terminal and application. The use of the method is also accompanied by large plot trials (OFR/PiG).

Figure 1: Trial design for large plot trial of growth regulator
Experimental treatments constant, variable by satellite and map

Project “Boniturschwarm” (assessment swarm)

The joint project “Boniturschwarm” of the TU Dresden, Chair of Agricultural Systems Technology and EXAgT GmbH will start on April 1, 2024 as part of the DMPL.

EXAgT has been using commercially available drones with multispectral cameras for several years for field assessments in monitoring/analysing field trials.

The time-critical use of drones in agricultural crop protection practice is currently hampered by the low productivity of drone use due to the technically limited flight times and the effort involved in photogrammetric analysis.

The use of larger, more powerful and automated drone solutions requires the use of very expensive technology, expensive insurance, highly qualified drone pilots and changes in legislation; “casual use” by a crop production specialist is no longer affordable.

One solution would be the simultaneous use of several drones, either in parallel for faster work completion or hierarchically (e.g. one drone provides the overview at a higher altitude to detect “defect areas”, the other(s) do the ” detailed work” at a lower altitude). Photogrammetric (pre-)processing of the images in the field would greatly reduce the overall processing time and thus enable site-specific crop protection applications on short notice.

The productive use of a drone swarm for field assessment by a ” standard” agronomist would promote the use of remote sensing technology for the effective use and saving of plant pesticides.

Ask us, we look forward to your tasks! We specialise in company-specific solutions, we value you and your challenges =;-).

Our contact details are:

arnim.grabo@exagt.de
+49 (0) 176 72588814, +49 (0) 34324 269737

andreas.schmidt@exagt.de
+49 (0) 173 352 8960, +49 (0) 34324 269739

Posted in Agronomy, Technology | Comments Off on Application maps for growth regulators / Project “Boniturschwarm” (assessment swarm)