Solving Data Challenges in Agriculture: Essential for Environmental Reporting

By Ben Craker|June 13, 2024

Editor’s note: AgGateway Portfolio Manager Ben Craker recently wrote an article on CropLife’s sister brand Global Ag Tech Initiative focused on the real-life struggles of data management, specifically as it relates to environmental reporting. Below is a summary of that article.

As a Portfolio Manager at AgGateway, I have a unique view of the agricultural data landscape, engaging with diverse topics and stakeholders weekly. Discussions range from GNSS accuracy for field boundaries to documenting manure lab test methods, irrigation data standards, and grower identification for contracts and seed deliveries. This broad engagement reveals the diverse perspectives, challenges, and solutions that various organizations experience with agricultural data.

A prominent recurring topic is environmental reporting. Initially seen as a temporary trend, it has become a sustained interest, crucial for documenting carbon offsets, sustainability practices, nutrient management, water use, and verifying climate-smart commodities. There is a significant push to standardize farm data for environmental documentation.

While technologies like blockchain, drones, and telematics have settled into rational use levels after initial hype, environmental reporting continues to steadily grow. Efforts by AgGateway, such as ADAPT and In-Field Product ID, have improved data movement across systems. However, fundamental issues beyond interoperability still hinder precision agriculture tool adoption and participation in environmental programs. These issues are often related to the data itself, rather than system compatibility.

Five main data issues are highlighted:

Missing Metadata: Agricultural equipment often lacks information on the specific implements used, such as no-till planters or conventional tools, making it difficult to document field operations accurately.
Missing Parameters: Not all OEMs log comprehensive data, such as fuel consumption or engine load during planting, complicating the reporting of operational details like fuel usage.
Missing Product Information: Operators frequently fail to log specific details about seed varieties, crop protection products, or feed mixes, making retrospective data reconstruction challenging.
Questionable Data Quality: Calibration and correct setup of machines are often overlooked, leading to data inaccuracies that are difficult to verify, especially for individuals not directly involved in the operations.
Data Archival and Provenance: Inconsistent data storage practices and the lack of raw data records complicate data validation and aggregation, leading to discrepancies across different systems.

These issues necessitate both farmers and equipment manufacturers to invest time and resources into ensuring accurate data documentation. Farmers need to focus on meticulous data entry, while manufacturers should enhance their equipment’s data logging capabilities.

AgGateway is actively working on projects to address these challenges, offering solutions for better data capture and management. These efforts aim to facilitate environmental reporting and improve the overall utility of agricultural data. For more information on these initiatives, interested parties can contact me at [email protected].

For more in-depth coverage on this topic, visit Global Ag Tech Initiative.