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Precision Agriculture (Data-driven management (allows (economical savings,…
Precision Agriculture
Data-driven management
implies
data monotorization
data analysis
uses
Information tecnhnology systems
to collect
historic crop yields
soil conditions
farm's field boundaries
allows
economical savings
sustentability promotion
efficient use of materials
increase production
improved decision-making
improves applications in
seeding
spraying
planting
nutrient
avoid trough automate machines
executing dangerous works
physically ehxausting jobs
Information Tecnhology systems (examples)
GPS
Fieldscripts
software Granular
Downside
Economically
Large investment costs
Large maintainance costs
Alternative Options
Selling to big farms data
Working with startups
Examples
Granular Inc.
Grower Information Services Cooperative
Farmobile LLC
ehnance
Collaboration
enabling farmers
data marketing
data control
data storage
data collection
Miss-use of data
leading to
Market disadvantage
Players
Dupont
Monsanto