HERO AGR Agriculturual-research

Agricultural research

Providing the right tools for data collection and analysis on trial plots

Scientific research in agriculture

Quantitative analytics in agricultural rating processes are crucial to many disciplines of agricultural research. Breeders and agrochemical companies rely on correct statistical data to evaluate and measure the performance of their field trials.

Field trials and plot level statistics make agriculture efficient, profitable, and sustainable, ensuring that new techniques are proven to work. Scientific evidence is the key for new agricultural techniques to be adopted by the mass market.

agronomist analyzing an agriculture field for research purposes

Improving agricultural research with accurate data

fixed wing and quadcopter drones
Remote sensing and image-based techniques have significant advantages over manual rating methods:
  • Drone-based remote sensing can cover experimental areas faster and more frequently than manual processes.
  • Remote sensing can measure the entire area of a trial plot, not just the points individually selected by the field worker.
  • Remote sensing data becomes comparable over time and under different environmental conditions.
  • Quantitative and qualitative, machine-derived data reduces human, individual sources of error.
  • Image-based techniques and software tools allow a high degree of automation in data acquisition and processing.
examination of agriculture field
Drone-based sensing can address several elements of phenotyping and botanical rating:
  • Area measurements in multispectral orthomosaics provide an accurate, quantitative overview of biomass, indirect N distribution, stress factors, or dry mass.
  • Statistical mean values and standard deviation values for index maps and digital surface models can be determined automatically.
  • High-resolution orthomosaics allow precise counting of plants or even leaves.
  • Photogrammetric techniques help precisely calculate the height of vegetation on a field or trial plot. Compared to laser scanners, this solution is more cost-effective and offers higher data resolution.

Agricultural experiments made easy with Pix4D and drone mapping

Organize, analyze and act on the information collected

Use the geometrically and radiometrically accurate data as the scientific basis for your trial experiments.

With the Pix4D state of the art photogrammetry suite, use measuring, analysis and management tools as well as variables like reflectance, height, volume, and many more to get accurate insights into your trial plots.

Pix4D elevation profile

Acquire accurate sub-cm imagery at any time during your experiments

Drones allow you to collect sub-cm imagery of every microplot and plant of your trial station.

Add a new quantitative layer of information that will offer objective insights into your experiments.

Acquire fresh and timely data whenever your trial plot experiments need it.

collecting high resolution and detailed imagery on trial plots

Report on and export statistical data directly into your current data pool

Export your information layers in industry-standard formats. Digitally add the data directly to the spreadsheet with the rest of the information from your experiment.

Take advantage of a variety of reporting tools to discuss hypotheses and observations with your team. Plan the next steps for your experiment based on qualitative and quantitative data you collected.

create qualitative and quantitative reports of the collected data
BACK AGR Crop Production Software section

A complete set of software tools for trial plot management tasks

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Plan and fly drone missions and capture optimized images for agricultural mapping.

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Advanced agriculture mapping software for fast mapping and analysis in-office and in-field.



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Advanced photogrammetry software for measuring volume and creating 3D or digital surface models.

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