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.
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.
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.
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.
Learn how Pix4Dfields is used to provide plot level statistics and understand the impact of different agricultural techniques over the crops.
One solution to better crop management lies in the use of precision agriculture technologies. Learn why vegetation indices have a crucial role.
Discover how variable rate applications can help the agriculture industry keep up with the challenge of higher food demand on production.