Day #192 - Agriculture: The Next Machine-Learning Frontier | Data Dialogs 2016

Beautiful, Detailed and Data based talk. Impressive Talk.

Key Summary

• Constant Empirical Learner
• Sivan - Hebrew Name - Hebrew month
• Climate Change, Demands, Variability of weather - Agriculture Challenges
• Weather / Rainfall dictates a lot
• 40 Decisions per year

November - March (Planning)

• Equipment Selection
• Results Analysis
• Seed Selection
• Crop selection

March - April (Pre-Planning)

• Fertility management
• Water management

April - May (Planting)

• Planting Logistics
• Planting Practices

June - August (In-Season)

• Scouting
• Inputs
• Fertility

August - November (Harvest)

• Harvest Logistics
• Harvest timing
• Grain marketing

Data Involved

• Weather
• Remote Sensing
• Field Data Research
• Germplasm
• Grower Data

Challenge - Takes a Season, Cannot Experiment in Agriculture. Costly Experiments (No A/B Test)

• Domain Scientist
• Data Scientist
• Engineers 

Data Challenges

• Spatio Temporal Data
• Heterogeneous
• Missing Data
• Observational Data

Learning

• Latent Features
• Curse of Dimensionality
• Multi-task Learning

Planting Management

• Zone Identification
• Recommend Practices
• More Seeds / Moderate / Low based on Risks
• Yield Monitor Data (Slow / High Yield)
• Recommendations / Inferences across years / Seed Variety 
• Build Recommendation system for best hybrid for year
• Crop health with Drone / Satellite Images
• Labeling and segregating shadow from satellite image 

Fertility management

• Nitrogen Lifecycle
• Models to determine plans interaction with Fertility management
• Wet / Warm Patterns and impact on plant growth
• Risk vs Fertility

More Details - https://climate.com

Interesting Observations from Blogs at Using GANs to generate practical disease images


Happy Mastering DL!!!