Last year our partners from Brazil, 99GEO, launched the cooperation with Coplacana, one of the largest cooperatives of sugarcane and ethanol producers in the world. The project resulted in a Copla-GIS mapping solution for maintenance of sugar cane plantations.
99GEO will showcase the solution during November 29th and 30th at AgTechDay. In addition, on November 28 they will hold a workshop, where you can get an in-depth and hands-on demonstration of the Copla-GIS solution for precision agriculture.
About AgTechDay
AgTechDay
aims to promote and enable digital agriculture and solve the challenges
of connecting the different players of the innovation ecosystem in
Brazilian agribusiness. The event is organized by Avance hub,
a platform that sprung out of Coplacanas vision to create an
accelerator for business and entrepreneurs. It brings together companies
not only from Agribusiness but also from sectors such as Health,
Telecommunications, Mining, Financial, Animal Husbandry and Security.
The Avance hub aims at linking
leading-edge technology companies, startups and consolidated ventures
with more than 10,000 members of the Coplacana (Cooperativa dos
Planadores de Cana de São Paulo).
On this year’s AgTechDay our partners will showcase GIS Cloud applications and solutions. Gabriel Camarinha from 99GEO will present the GIS Cloud platform on the second day of the event, 29th November at 16h.
Find more info and news about the AgTechDay on the Facebook page of Avance hub.
99GEO Workshop
On November 28th, a day before the AgTechDay, our partners from Brazil 99GEO, have organized a hands-on workshop to demonstrate the Copla-GIS solution and other GIS Cloud applications.
Learn everything about creating projects and collecting data using your smartphones and tablets.
Also, learn how to deploy various data collection projects for
effective uses in agriculture through existing case studies and live
hands-on demos. You will also get an insight into all the possibilities
of a powerful Map Editor after data is collected.
Copla-GIS workflow for precision farming
Precision agriculture is often
associated with technologies such as GPS, GIS, drones, mobile data
collection applications, remote sensing, and other technological
advances intended to provide farmers with a better decision making
process.
Digital, interactive maps display spatial correlations and patterns are important for sugarcane production management, pest control, soil quality, moisture content and much more.
The Copla-GIS workflow
is excellent for the development of the agricultural sector, which in
this case also responds to the renewable energy sector in the production
of fuel ethanol. For instance, in Brazil, nearly all vehicles work with
both gasoline and ethanol, and the use of ethanol reaches almost 100%
in some regions of the country.
Workflow scope divided by areas – COPLA-GIS (99GEO):
Key benefits in precision agriculture for sugarcane industry:
MAPPING FIELD DATA WITH HIGH GPS ACCURACY
The first step to improve the understanding of a farm’s productivity
is to map and collect necessary information about soil nutrient levels
and crop characteristics, accompanied by exact GPS locations to provide a
base layer of information.
REAL-TIME SHARING AND SUPPORTING DRONE IMAGERY DATA
Large raster data obtained by drone
mapping, satellite imagery or aerial photography can derive important
spatial data such as orthomosaic maps, elevation models, or contours.
Sharing and supporting large raster data in real-time, with different
stakeholders and different privileges, is the most
important factor when it comes to time efficiency in the farming
industry. If you are interested in this topic, watch a webinar recording about supporting large raster data in GIS Cloud.
FIELD REPORTS AND COLLABORATION
Adopting a cloud-based GIS solution as a farm management tool can help farmers and land managers to keep track of day-to-day activities such as the application of chemicals, fertilizers, and water. They can also track the costs of harvesting, hauling, fertilizing and labor, and predict current and future fluctuations in precipitation, temperature, crop output, etc.
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