Accelerating Innovation Digitally Transforming Field Trials Lobby - Agmatix

Accelerating Innovation: Digitally Transforming Field Trials

Field trials play a crucial role in agricultural research and development by providing a means of evaluating the efficacy of new technologies and practices under real-world conditions. In agriculture, a wide range of factors can influence crop productivity, such as soil fertility, pest and disease pressures, weather conditions, and other environmental variables. 

Therefore, crop field trials provide researchers with the opportunity to test and refine their ideas in the context of these complex and dynamic systems. By conducting field trials, researchers can gain a better understanding of the performance of new technologies and practices under various conditions, identify areas for improvement, and refine their methods to increase their effectiveness.

Field trials generally adhere to a four-step procedure. Initially, the experiment is meticulously planned, encompassing the formulation of research inquiries, determination of treatments, and establishment of a suitable design. Subsequently, the experiment is executed, and data is systematically collected. Lastly, the trial results undergo analysis, enabling informed decision-making.

At each stage, the adoption of digital transformation in agricultural field research software is fostering efficiency improvements and shortens the time required to gain valuable insights. Through technological advancements, numerous innovations are being expedited, and Agmatix is at the forefront, utilizing technology to drive significant advancements in the impact of field trials.

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Experiment Design and Digital Transformation in Agriculture 

Field trial experimental design involves defining the research question, managing the treatment table, and defining the design model and field layout, such as randomized complete block design or split-plot design. During this step, researchers also identify the appropriate control treatments, which help to provide a baseline against which to compare the treatments of interest.

Traditionally, experimental design has been a lengthy, time-consuming, and detailed process. Ensuring that all variables have been considered and all potential designs have been evaluated is important, and requires a high degree of collaboration with all stakeholders.

Gaining alignment across the organization can be arduous. Then, manually creating the design can be challenging, especially without the right tools at hand. Even the most experienced researchers may make errors or struggle with layout limitations without the right tools. 

New innovations in agriculture field trial technology make trial planning and design easier and faster. Drag-and-drop tools make planning and customizing experiments seamless. Users can easily build field trials that meet their needs with just the click of a button. Cloud-based technologies enhance collaboration and enable feedback in real-time, so field trial leaders can skip managing calendars and jump straight into the feedback and approval process. 

Agmatix’s Agronomic Field Trial platform enables that type of collaboration across organizations of any size and scale because it’s cloud-based. And the Agronomic Field Trial platform is a research software that makes designing the perfect trial an easier process. Researchers can easily map out layouts from a field-level view using drag-and-drop features. There are hundreds of customizable treatment combinations available in a single user-friendly interface. These time-saving features get researchers in the field faster, with fewer errors.

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Conducting Experiments with Field Research Software 

The second step of a field trial is to conduct the experiment while collecting data. This involves implementing the experimental design, ensuring that the treatments are applied correctly, and collecting data on relevant variables such as crop yields, quality, pest and disease pressures, and environmental conditions. During this step, it is crucial to maintain accurate and detailed records of the experimental procedures, as well as any factors that may have influenced the results.

Traditionally, data collection in agriculture has heavily relied on manual processes. Despite the integration of certain technologies in the field, effectively combining manual data, such as pest pressure, with other data sources has posed challenges. Maintaining accurate and comprehensive records is crucial for ensuring the trial’s validity and integrity, yet the task of recording all relevant data and preserving these records is undeniably substantial. 


Digital transformation in agriculture has the immense capability of improving this data-intensive step. With Agmatix’s Agronomic Field Trial platform, data collection is a snap. Agmatix’s cloud-based next-generation tools enable extended mobile capabilities, empowering researchers and trial administrators to effortlessly collect data, whether online or offline.With full and real-time visibility of the trial, researchers can view results instantly and monitor any outliers to correct issues as they arise. 

Agronomic Trial Management also enables the organization to work under similar protocols and reduce data loss due to data standardization. The trials can be boots-on-the-ground managed by multiple individuals and still have seamless data collection. New innovations in agriculture technology are transforming field trials to make them easy and fast to execute.

Analyze Data to Drive New Innovations in Agriculture Through Technology

The third and final step of a field trial is to analyze the results to make decisions. This involves statistical analysis of the data collected during the experiment to determine the significance of the treatment effects, as well as any interactions between treatments and other factors. 

Researchers then use this information to draw conclusions about the effectiveness of the treatments tested, identify areas for improvement, and make decisions about further research or potential adoption of the treatments by farmers or other stakeholders. This step is critical for ensuring that the results of the field trial are interpreted correctly and that evidence-based decisions are made based on the data collected.

The advent of digital technology has brought about a revolutionary transformation in the analysis of agronomic field trial data. Thanks to high-speed computing and advanced software tools, the process of collecting, analyzing, and visualizing data can now be accomplished swiftly and efficiently.

Data can be analyzed using machine learning algorithms, allowing researchers to identify patterns and predict outcomes. Additionally, digital platforms can be used to share data and collaborate with other researchers and stakeholders, facilitating the dissemination of knowledge and innovation in the field.

Agmatix’s Agronomic Field Trial platform is equipped with many technical innovations to enhance field trial data analysis, making it efficient and easy. Agmatix’s platform is built on Axiom technology that ingests, standardizes, and harmonizes data from current field trials and legacy datasets to unlock the true value of the data. Agmatix’s technology often presents a comprehensive overview, offering a complete picture that was previously unavailable in many instances.

Agronomic Trial Management provides a visual interface for trial operation results and makes sharing across teams completely seamless. This cloud-based, next-generation solution makes data easily accessible for analysis by cross-functional staff members and partners – even if they’re outside your organization. 

Agmatix technology also takes data analysis one step further with technical innovations in its Insights and Models platform. Pre-built widgets help researchers to understand the data – quickly. With just a few clicks, statistical tools can improve data quality and users can create customized reports to visualize and summarize the data. These powerful tools allow researchers to conduct cross-trial analysis and dig deeper into the results of advanced farming practices. Researchers can even calibrate and verify ML models to determine the best opportunities to increase yields and sustainability. 

Ultimately, collaboration and statistical analysis are key steps in data analysis following the conclusion of in-field trial execution. Collaboration can be time-consuming, especially if data standardization and sharing are complex. The time spent completing analysis and collaborating on the next steps is valuable time researchers could be spending on continued innovation. Speed to market is critical for researchers and the industry – and digital transformation will help speed up your time to trial insights. 

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Technical Innovations in Technology Lead the Way

Digital technology has had a significant impact on the efficiency and effectiveness of field trials. The use of digital tools such as sensors, drones, and mobile applications for data collection has greatly reduced the time and effort required to collect data. This has allowed researchers to conduct more trials in a shorter amount of time, thereby increasing the amount of data collected and improving the statistical power of the experiments. 

Digital tools also enable real-time monitoring of crop growth and health, enabling researchers to respond quickly to changing conditions and adjust management strategies accordingly. Furthermore, digital data analysis tools such as machine learning algorithms can analyze large datasets quickly and accurately, leading to better decision-making and more precise results. 

Overall, the use of digital technology has improved the efficiency and effectiveness of field trials, enabling researchers to conduct more trials, collect more data, and make better-informed decisions about agricultural practices.

Agmatix supports the effort to speed time to market and drive efficiency gains in field trials. Companies can be more competitive and faster to innovate by optimizing trials and cutting time spent preparing and managing data. 

With the Agmatix suite of tools, including Agronomic Trial Management and Insights and Models, researchers can forget their Excel sheets and handwritten notes, and move into a world where data collection and analysis is effortless and efficient.