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AI in agriculture - Coggle Diagram
AI in agriculture
automated machinery
AI driven planting
AI Driven farming
AI driven harvesting
Automatic processing machinery
Gives time to employees for important jobs
CAM machinery
Accuracy and repeatability
Consumer gets consistent product quality
high tech farm equipment
modern tractors
Advanced navigation
Semi autonomous
Fully autonomous
Habitual AI learning
360° vision
Automatic fluid management
AI fuel management
AI pesticide management
Robot pesticide management
Keeps user safe from pesticides
Ground monitoring to get AI advice
Using soil density
Using soil moisture content
Using soil nitrates content
using AI to determine nutrients and water use in feilds
Drones
ground surveying
AI image comparisons over time
Precision agriculture
Accurate timings
breeding and birthing seasons
Growing seasons
Weather seasons
Seeding and harvesting seasons
Selling time
Maximizing a fields capability
Filling empty space
Allowing AI to determine optimum seed spacing
Automated seeders
Nitrate supplements
Using AI to advise Nitrate replenishment
AI pesticide control
yield maximum
Minimize loss
Maximize profit
Allow AI to advise about sell-able goods
crop monitoring
Growth cycles
growth seasons
temperature ideals
Moisture of soil
air humidity
light
intensity
quality
natural or artificial
AI lighting solutions that change due to seasons
Seed=yeild
Minimizing loss of crops
ground surveying
Satellite imaging
AI analysis in change of field use
AI advice on future field use
predicting field health
Ground survey
soil samples
Moisture content
nitrate content
pest content
soil density
Ground survey results
AI advice for healthier fields
supply chain optimisation
Market analysis
Who wants what when
AI predicting market needs
AI market pattern scanning
logistics and distribution
AI managing sale
AI assessing distribution patterns
Maximizing space in trucks
Smaller packaging design
Organizing direct sale to businesses
Guaranteed income
A pattern that AI can learn from to analyse sale patterns
Consumer analysis
Produce quality
Feedback feeds into AI learning patterns
AI recommends changes for supply chain and logistics changes based on consumer feedback
Consumer feedback
Seasonal fluctuations
Harvest going bad after due date
Sale before and after harvest
AI analysis in quality of produce
ensuring high quality of produce all year
Holiday periods
Demand for goods at certain times of the year
The "Christmas turkey dinner"
AI predicting high load situations
Managing storage for out of harvest seasons
Keeping produce fresh
Storing efficiently
AI lighting
AI air conditioning
AI temperature control
Sustainability advice
Environmental monitoring
Local
Air quality
Chemical sampling
AI environmental management
carbon footprint reduction
AI driven machinery
AI efficiency systems
Using AI as an employee
self sustainability
Green energy
Wind
Needs constant wind
Solar
Needs constant sunlight
Hydro
Needs access to flowing water
May change water course or damage water ecosystem
Using combination of multiple green energy types
Becoming separated from grid energy
Waste turned to energy
Burning waste for heat
Burning waste for electricity
Releases toxic gasses
AI carbon monitoring
Feeding waste to livestock
Allowing AI to enhance diets
Agroforestry
Cover crops
diversity in fields
Diversity in animal habitat
No pesticide use
Sustains animal ecosystem
Carbon footprint reduction
AI employee
24/7 workload
Does not overuse resources
Advises on carbon reduction
Learns from inputs
Monitoring results
Ground surveys
local reviews
Field smells
Air pollution
light pollution
Produce reviews
Logistics data
Achieving Net 0 carbon output
Green energy
AI managing energy supply
AI enhanced GPS
Only use the land that is needed
AI advisor on board machinery
Argoforestry
Tree life
Creating a "biocover" for the crops
Sequester carbon emissions
Traps higher carbon levels in a field
No fertilizers
Less fossil fuel based material used
Livestock management
Feed
feed stock management
Using AI to manage livestock diets
Using AI to order feed when needed
training AI to determine feed for seasonal changes
Feed amount
using AI to provide Individual animal diet plans
Tracking and monitoring individual animal intake
Allow AI to recommend health changes
Track and manage animal health
Animal health
Using AI to track vet visits and book future visits
AI tracking and minimizing vet costs
AI analysis on risk to animals
Predict disability and disease in new spawn
train model to spot patterns in health
Family trees flagged at high or low risk
AI assessing muscle mass/fitness of animals
Field health
Allow AI to monitor land and assist in moving animals to healthier land
breeding and birthing seasons
Predicting numbers of young
Allow AI to flag risk in mothers
Book vet visits
Allow AI to spot desired traits in breeding males and females
AI assisting in cow milk collection times
Weather forecasting
Patterns in seasons
Using AI to give planting and harvesting dates
AI driven Farming
Predicting wet and dry seasons
AI water use management
AI water waste management
Using AI to gather data from multiple sources
Using AI to learn weather patterns
Predicting extreme weather events
Predicting loss and damage
AI prediction allows aid to be given before event happens
Protection advice
resource management
Water
Waste water management
Using AI to predict water use
Using AI to advise water use minimization
energy
Green energy
Wind
Solar
Energy supply chain
AI cost cutting advice
Allowing AI to swap providers to better suit the buisness
feed and grain
Seasonal changes
feed type
feed amount
Decision support systems
Risk management
Business decision risk
Task risk
Allowing AI to deem tasks unsafe
Allowing AI to create safe solutions for unsafe tasks
Advisory services
AI manager
Takes strain off of human workload
AI files and saves data
AI learns from data and optimizes itself