AI Use Case

Optimise crop or livestock yield management based on field sensors

Yield management by taking sensor data on soil quality - common in newer John Deere et al truck models and determining what seed varieties, seed spacing to use etc. Also used for checking the right moment to bring livestock to market - using cameras for example.

Function

Benefits

Cost - Reduce wastage,Revenue - Product optimisation

Case Studies

University of Technology Sydney (UTS) ~Researchers from the University of Technology Sydney aim at ensure livestock are in peak condition leading up to sale by analysing cattle through AI,Rentokil ~Rentokil pilots pest identification and treatment recommendation using a mobile app and image recognition ,Small Robot Company ~Small Robot Company develops robots to monitor crops and soil to maximise yield,Small Robot Company ~Small Robot Company is a vendor which hopes to deploy robots to reduce chemicals and emissions while increasing farm profitability

Industry

Basic Materials

Agriculture

Data Sets

Images,Time series

AI Technologies

Machine Learning (ML),ML Task - Prediction - Multi-class Classification,Product - Data Capture - Drones Remote Sensing,Product - Data Capture - Plane and Satellite Imagery,ML Task - Prediction - Regression,Model Architecture - Convolutional Neural Network (CNN),Product - Data Capture - Sensor IoT,Product - Data Capture - Bio Sensor,Product Type - Vision - Image classification

Potential Vendors

Google,Accenture