AI Use Case
Optimise agricultural production process often in real time
Optimise farming production process, often in real time, determining where to dedicate resources to reduce bottlenecks, cycle time and error rates. Interventions might range from automated fertiliser or pesticide deployment to alerting for human involvment.
Revenue - Product optimisation,Cost - Reduce wastage,Operational Support - Issue triage
"""NITI Aayog (National Institution for Transforming India), Government of India""~The National Institution for Transforming India partners with IBM to develop a crop yield prediction model using AI",PEAT~PEAT identifies 400 diseases and pests from farmers' uploaded photos on their new mobile app ,ICRISAT~ICRISAT and Microsoft advise farmers on when to sow crops resulting in a 10-30% yield per hectare increase by using machine learning,ecoRobotix~ecoRobotix aims to reduce the amount of herbicide farmers use by 20 times with robotics and machine vision,Hart Agriculture’s Seven Oaks Dairy farm~Farmers are able to track cows and monitor their activity and optimise food production through machine learning,United Phosphorous (UPL)~United Phosphorous (UPL) and Microsoft machine learning predictions were used to alert farmers to the likelihood of pest infestation resulting in the doubling of farm income,"Makoto Cucumber Farm~Makoto Cucumber Farm automatically sorts cucumbers based on shape, length and distortion using deep machine vision",Small Robot Company ~Small Robot Company is a vendor which hopes to deploy robots to reduce chemicals and emissions while increasing farm profitability
Time series,Structured / Semi-structured
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
IBM,PEAT,Nvidia,Microsoft Azure,Google,Microsoft Azure