Smart tools for agronomic crop insights using Machine learning (ML) and Artificial Intelligence (AI)

Agronomists and growers lack the decision support tools and digital literacy to proactively manage crop productivity. Agronomic decisions are made reactively after visual observations, significantly impacting productivity. This project leverages CSIRO research & IP, commercial agronomic observations, spatial data sets, a leading agronomic platform and novel ML and AI approaches to create real-time, predictive, actionable, management insights to maximise the Australian farm productivity. ll begins with an idea. Maybe you want to launch a business. Maybe you want to turn a hobby into something more. Or maybe you have a creative project to share with the world. Whatever it is, the way you tell your story online can make all the difference.

The P2D project found that; despite the potential for $20.3 billion of gains through digital adoption; a number of barriers exist:

·         The lack of knowledge in how to process and apply available datasets so it can be deployed operationally.

·         The general lack of digital technologies and advanced analytics that can be used widely rather than by a small number of “experts”;

·         The lack of sharing of “silo’ed” information between organisations and people; The variability in quality and robustness of data and analysis;

·         The need to move from reactive to predictive farm management;

This project makes recommendations to address these issues without the need to create more data - just to aggregate it, analyse it, and distribute it more effectively.

The project will deliver practical outcomes with immediate benefits as the insights and information generated can be applied using existing technology and practices common to broadacre farming that are currently retarded by the lack of common data interchange between their information sources that this project aims to remove.