Resources
Resources
Does Regenerative Ag Work?
A recent focus on regenerative ag has made many wonder — does it actually work? And how can you measure whether it’s making an impact?
How to Get Crop Health Data Throughout the Season
Uncovering crop health data and insights throughout the entire season comes much easier when using technology like an ag drone system. Learn how this insight can help improve end-of-season outcomes and yield.
Upgrade Your Stand Count: The ROI of Capturing Emergence Data with Technology
Capturing emergence data via manual methods takes a lot of time and can be quite subjective. Learn how to leverage ag drones and sensors to generate detailed Stand Count analytics to get the data that delivers ROI all season long.
Scouting, Monitoring, or Prediction: Key Uses of Remote Sensing
With three key uses of remote sensing in ag, which is best for you? It all comes down to what your reasoning is for leveraging remote sensing.
How Multispectral Technology Can Help with Nitrogen Inputs
The agriculture industry is seeking methods to limit nitrogen fertilizer use in agriculture to save money, resources, and promote sustainability.
Is More Better in Ag Research & Product Development?
In ag research and product development, ag technology captures more ag data in less time and with fewer resources – allowing for more research plot trials to validate outcomes.
Build-Your-Own Ag Model: Solving Your Toughest Agronomic Problems with Machine Learning
Flush with data, the agriculture industry faces another challenge: How do you use this data to tell a story throughout the season? Learn more in our webinar about agronomic modeling.
Past, Present, and Future: A Deep Dive into Agricultural Modeling
With many layers to agricultural modeling, gaining an understanding of differentiating factors and data allows for more accurate and efficient data collection and management.
Crop Insights Deep Dive: Stand Count Analytics
Getting insight into early season emergence and population counts can help validate outcomes and maximize yield. Stand Count analytics from Sentera provide accurate measurements to get this level of detail.
This or That: RGB vs. Multispectral Sensors
Numerous options on the market today make it challenging to choose the best ag sensor. RGB vs. multispectral — which one wins? Learn more in our blog post.
Remote Sensing in Agriculture: Can it Validate Research Outcomes?
Technology like remote sensing has transformed data collection in agriculture. But, what is the value it offers? Can it really validate outcomes and power critical decisions? Read more in our blog post.
Mapping Your 2023 Drone Flight Plans
Learn more about the significant role executing a drone flight plan plays in completing a successful data collection mission.
You Fly, We Fly: Standardizing Aerial Data Collection for Ag Data
When it comes to getting the most accurate and precise agronomic data, it starts by standardizing aerial data collection. Learn more about how Sentera’s Flight Services team does this in our webinar.
Infograph: Flight Services: Guaranteed Mission Success
Capturing the right data at the right time ensures you can turn that information into essential analytics. Our Flight Services team does this by focusing on one thing: Mission Success.
Increasing Mission Success for Reliable Data Collection
With the challenges facing agriculture, it’s essential to pinpoint reliable data collection methods to validate outcomes & power decisions.
Ask the Expert: The Value of Crop Measurements in Ag Research and Production
Ag research and product development rely on accurate and precise crop measurements to validate outcomes and drive decisions.
The Crop Production Lifecycle: Research & Product Development
Technological advances are transforming agriculture, but what do they mean for each step in the crop production lifecycle? Learn more in our blog post, the first in a series about each stage in the lifecycle and what it means to today’s agronomic leaders.
Looking Towards the Future: Forecasting Three 2023 Ag Trends
2023 ag trends revolve around optimizing productivity, efficiency, and sustainability to provide a successful year for agriculture.
What is the ROI? The DGR System Speaks for Itself
Sentera’s DGR System brings geolocation accuracy to the agriculture industry, delivering faster ag data for research.
Sentera Extends Compatibility for New Geolocation System
Seamless Integration Now Available with the Sentera 65R Sensor ST. PAUL, Minn. – Dec. 14, 2022 – Sentera, the industry leading ag analytics platform powered by machine learning,...
#Trending on Sentera: Favorite Blog Posts from 2022
What’s trending on Sentera? Check out seven of your favorite blog posts of 2022 to bring into the New Year.
Sustainability for the Future: Is it too Late?
With the challenges of climate change and rapid population growth, efforts for sustainable ag solutions are in dire need.
This Year’s Hot Topics: Top 3 Ag Trends of 2022
As the year wraps, let’s reflect on the top 2022 ag trends of the year and how they will follow into the new year.
Making the Impossible, Possible: In the Field with the DGR System
Sentera’s DGR System has transformed high-res imagery capture for agriculture – boosting efficiency and accuracy for data collection and analysis.
Boosting Grower Engagement: Late & Off Season
In this excerpt from Sentera’s Grower Engagement Guide, learn about igniting grower engagement late and post season.
Industry Insights: Top 2023 Trends in Agriculture
As we look ahead to 2023, join us for an exclusive Industry Insights Panel with key experts to discuss the 2023 hottest trends in agriculture.
Solutions Brief: Avoiding the Data Noise Bottleneck
With the average farm generating 500,000 data points, the agricultural industry has a new data problem: TOO much data. So, how do you know where to focus? Check out this Solutions Brief for insight.
Goodbye, Orthomosaic Maps and Hello, DGR System
Sentera’s DGR System pushes the bounds of what can be done in orthomosaic mapping technologies, but what is this new advancement?
Solutions Brief: How Ag Technology Can Combat Labor Shortages
The labor shortage has hit all industries. For those in ag research and product development, it has made it challenging to capture the data they need. Luckily, ag technology can fill the gaps — reducing the need for labor by up to 30%.
Optimizing Your Research: 3 Key Takeaways from the ASA-CSSA-SSSA International Annual Meeting
The 2022 ASA-CSSA-SSSA International Annual Meeting has wrapped, here are three key takeaways from the past week.
Is There a Future for Farming in America?
Forty percent of land in the United States – or 900 million acres – is considered farmland. Corn, soybeans, and wheat may be top crops in the country, but farmland is dedicated...
Sentera Launches Ultra-High-Resolution Aerial Imagery Sensor
The industry’s first ultra-high-resolution aerial sensor, purpose-built for seamless drone integration, is here. Learn about how the 65R helps agronomic leaders capture sharper imagery, faster.
Boosting Efficiency & Productivity with Precision Ag Software
Precision ag software, like Sentera’s FieldAgent, works to provide the data analysis and reports needed to fuel critical agronomic decisions.
Stitching 101: Ins & Outs of Stitched Mosaics
Stitched mosaic take high-resolution aerial imagery and generate the insights needed to power critical decision making.
Introducing the 65R: Capturing the Sharpest Aerial Imagery
Introducing the 65R Sensor, designed to capture the sharpest aerial imagery to drive productivity and efficiency. Join our webinar to learn the features and benefits of this ultra-high-resolution aerial sensor.
Accurately Forecasting Seed Production Yields
With such unpredictability regarding yield, it can be beneficial to leverage technology to gain control of insights on crop performance.
Infograph: NDVI and NDRE Use Cases
NDVI and NDRE are two of the most popular multispectral images. But, how do you know which one to use? When is the best time to use one over the other? Check out our infograph for all the details.
Getting Started with High-Resolution Imagery
Using high-resolution imagery to evaluate crop health serves as an essential tool for agronomic advisors. But, how do you know where to start? Learn more in our Solutions Brief.
Evolution of Digital Agronomy: What’s Next?
Digital agronomy has been around for decades, continuously evolving into ag technology that fuels a more sustainable and productive future.
Sentera Launches Precise Geolocation System for Faster Data Delivery
Cut the time it takes to move from ag data collection to analysis by up to 8x with the Sentera DGR System, designed for precise geolocation accuracy for streamlined workflows for data collection.
Managing the Health of a Modern Agricultural Enterprise: Golf Courses
For the modern agricultural enterprise – golf courses – understanding turf health is just as important as crop performance for growers and their advisors. Learn more in this blog post, featuring Australian Turf Analysis.
Keep the Gears Turning: Grower Engagement During Off-Season
As harvest continues and the off-season commences, grower engagement plays an essential role in next year’s preparation.
Sentera Brings AI to the Field to Advance Agronomic Data
Sentera’s machine learning framework, the KRNL, announces advancements to gain further insight into crop health and performance.
Have Your Cake and Eat It, Too: The Evolution of Ag Drone Sensors
Aerial imagery has drastically transformed over the past 150 years. Learn three ways how they have accelerated data in agriculture.
Maximizing Ag Data Precision with the DGR System
From decreasing flight times by 60% to delivering ag data 5x faster than other methods, the Sentera DGR System streamlines workflows. Join our webinar to learn more.
Field Analysis: Performance Beyond Roots and Stalks
As the end of growing season nears, now is a critical time to reflect on wins and losses this year to assist in making decisions for next year.
The Future of Machine Learning in Agriculture
From autonomous tractors to deeper crop health insights, machine learning has the power to transform agriculture. In this webinar, learn how it’s shaping the future of data analysis and productivity for agronomic leaders.
Satellite vs. Drone Imagery for Crop Health: What’s the Difference?
Satellite and drones both produce multispectral indices. What’s the difference? How do you choose which one to use? Learn more in our blog post.
Is Machine Learning in Agriculture the Way Forward?
Machine learning in agriculture boosts productivity and combats food insecurity – promoting a more sustainable future.
This or That: Determining the Best Drone for Crop Scouting
When reviewing your goals and guidelines for maximizing yield, it is pivotal to pinpoint the best drone for your crop scouting needs.
Get the Latest Delivered to Your Inbox
Sign up for our monthly newsletter to stay up-to-date with key industry insights.