Transforming from traditional farming techniques to adopting precision agriculture solutions requires substantial capital investment. This investment decreases on a year-over-year basis and at the same time, the savings per unit of production increases exponentially. Farmers adapting to modern agriculture techniques have been able to carry out farming in a more efficient way, while reducing waste. For example, a GPS-based (Global Positioning Satellite) navigation system for a tractor provides highly accurate plowing, seeding, and harvesting.
For long, farmers have used their experience and knowledge to judge the health of crops. One major drawback of this, is that the accuracy of detection is not high, which leads to losses and sub-standard products being harvested. With the advent of low-cost sensing techniques, farmers can now accurately judge the health of crops and take necessary steps based on readings. Crop sensors measure various parameters that can determine the ripeness and quality of individual plants.
The significant fall in sensor hardware costs has helped improve the affordability of agritech solutions and spur uptake. Over a period of time, there has been a migration from simple to smart sensors to meet diverse agricultural application needs.
In 2016, Australia’s own agtech community emerged. The National Farmers’ Federation teamed up with Findex to establish SproutX, a $10 million agtech fund and Australia’s first agtech incubator, and put 100 people from diverse backgrounds through a pre-accelerator course.
In 2017, the government announced funding of $50 million over ten years for the Food Agility Cooperative Research Centre (CRC) to accelerate research and commercialisation in the agtech sector.
Key Issues Addressed
- What are the key growth drivers for the digital transformation of the Australian agriculture sector?
- What are the key restraints to the digital transformation of the agriculture sector?
- What is the size and growth forecast for digital spend in the agriculture sector?
- What technology, demand and service trends are likely to impact the opportunity?
- Who are the leading solutions providers and what competitive tools provide differentiation in this market?
1. Executive Summary
- Key Findings
2. Scope and Definitions
- Key Questions this Study will Answer
3. Drivers and Restraints to Digital Transformation in the Australian Agriculture Sector
- Market Drivers
- Drivers Explained
- Market Restraints
- Restraints Explained
4. Market Size, Segmentation and Growth
- Revenue Forecast
- Revenue Forecast Discussion
- Percent Revenue Breakdown by Product Category
- Percent Revenue Breakdown by Solution
- Percent Revenue Breakdown by End-user Segment
5. Technology Trends and Use Cases
- Key Enablers
- Technology Lifecycle Analysis
- Technologies in Focus
- Perspective on Communications
- Case Studies
6. Competitive Structure
- Industry Structure
- Competitors to Watch
- Positioning Strategies
- Innovation Ecosystem
- Importing Precision Agriculture Solutions
7. Growth Opportunities and Companies to Action
- Major Growth Opportunities
- Strategic Imperatives for Success and Growth
8. The Last Word
9. End-market Snapshot
- Agriculture - Sector Trends
- Agriculture - Policy
- Legal Disclaimer
- List of Exhibits