The Climate FieldView Experience in Brazil
In 2010, much of my work involved unloading data from 30 machines (e.g., tractors, sprayers, harvesters) on a large farm in Bahia, Brazil, using pen drives and processing it on GIS software. A lot of time was spent and a lot of patience was required for this process. Then in 2013, I first started using FieldView. I was impressed with the ability to pull real-time data from Precision Planting 20/20 SeedSense monitors and view population, speed, and singulation quickly and easily on an iPad. I found this technology amazing.
In December 2014, Climate Corp. bought 640 Labs, a Chicago-based startup that created a data extractor of Redecan and integrated its technology into the FieldView platform. I was even more impressed to see the possibility to withdraw dozens of data points and to put this information into a practical way for visualization. It would make life a lot easier for professionals who managed the data as I did.
Launched in June 2018 in the Brazilian market, the FieldView platform was originally used on about 560,000 hectares of covered area, a number which has grown significantly higher since.
On July 25, I attended, the second Climate FieldView Experience in São Paulo, with 650 participants including farmers, consultants, representatives of the machine industries, precision agriculture companies, and startups. The objective was to show the experiences of using the platform, and new compatibilities and partnerships.
On large farms, the operational control of planting and spraying are success factors in using the FieldView platform, as some are already using harvest maps for decision making. But on small and medium-sized farms, I see that they can obtain better information on the harvest maps evaluating the performance of varieties and hybrids, in addition to finding points of variability in the field.
In my consulting work throughout Brazil, I have seen that using this platform has raised the level of production simply by showing data that has been available inside the cabs for decades, but many Brazilian farmers did not even imagine existed. Controlling planting velocity, applying chemical pesticides with the correct volume, and withdrawing harvest maps helps farmers make better decisions, in addition to fostering the growth of agriculture as a whole (e.g., equipment companies, service providers in precision agriculture, new startups, new professionals). All this movement has taken many large companies from their comfort zone and has made the sector evolve rapidly in Brazil.
I always conclude my lectures with the following message for farmers: use the platforms of digital agriculture that you choose as the most suitable for you for sharing data, This is the path in the evolution of productivity.
I’ll talk more about it in the next few articles.