ROBOT FARMERS AND CHEFSin the field and in your kitchen

@timgasper

THE MARCH TOWARDSAUTONOMY AND AI

RASPBERRY PI 2 B $5 RASPBERRY PI ZERO

USB WIFI& BLUETOOTH

$5 WIFI LINUXCOMPUTER

($10 WIFI & BLUETOOTH)

$72 PHPROBE

$9 PHPROBE

BIG DATA & MACHINE DATA

DATA SCIENCE, MACHINE LEARNING, DEEP LEARNING

FOOD INDUSTRY CHALLENGES• FOOD SHORTAGES & SURPLUSES• RAPID URBANIZATION• URBAN FOOD DESERTS• LABOR COSTS• TRAVEL COSTS• CLIMATE CHANGE• UNPREDICTABILITY OF YIELD• ROBUSTNESS OVER NUTRITION & TASTE

FARM AI AND AUTOMATION

TEXAS A&M

PRECISIONHAWK

VEGETATION DENSITY

WALL-YE 1000

DEEP LEARNING ON 54,306 IMAGES

99.35% ACCURACY

https://arxiv.org/abs/1604.03169

1. Choice of deep learning architecture• AlexNet• GoogleNet

2. Choice of training mechanism• Transfer Learning• Training from Scratch

3. Choice of dataset type• Color• Gray scale• Leaf Segmented

4. Choice of training-testing set distribution• Train: 80%, Test: 20%• Train: 60%, Test: 40%• Train: 50%, Test: 50%

• Solver type: Stochastic Gradient Descent

• Base learning rate: 0.005• Learning rate policy: Step

(decreases by a factor of 10 every 30/3 epochs)

• Momentum: 0.9• Weight decay: 0.0005• Gamma: 0.1• Batch size: 24 (in case of

GoogleNet), 100 (in case of AlexNet)

CUCUMBER SORTER

FULLY AUTOMATEDHYDROPONICS

LETTUCE THAT NEVER NEEDS

WASHING

ZERO HUMANS

FARMBOT

PONOS

SENSORS x12

PI 2 B &CUSTOM PCB

HARDWARE STACK ANALYTICS STACKWEB STACK

FULLY AUTOMATEDKITCHEN

CASABOTS(CHOWBOTICS)

MOLEY ROBOTICS

Thanks!

@timgasper