Time Series Mastery: How to Use Field History to Enhance Future Agronomy

Satellite Imagery allows users to monitor near–real–time crop growth conditions along the vegetation cycle. A Satellite Image Time Series is a sequence of images taken over the same area at various intervals. Time series of indices derived from reflectance data, such as NDVI and LAI are used to assess the evolution of the vegetation and…

Read More

Unlocking the Potential of Remote Sensing: Estimating Winter Cover Crop Biomass Using Sentinel-2 and Machine Learning

In the pursuit of sustainable agriculture and climate change mitigation, understanding and quantifying the biomass of cover crops during winter fallow periods is crucial. However, traditional methods for estimating cover crop biomass often lack spatial precision and objectivity. In a groundbreaking study published in Remote Sensing, researchers have harnessed the power of remote sensing technology…

Read More

Employee Spotlight: Caroline Gevaert

How long have you been at EarthDaily Agro? I joined EarthDaily Agro 12 years ago.    What’s your current position, and what does it entail? My current role as a Data Analyst involves transforming raw data into useful insights. I am responsible for collecting, processing, and analyzing data to provide valuable materials to data scientists.…

Read More

Employee Spotlight: Eva Totain

How long have you been at EarthDaily Agro? I joined EarthDaily Agro four years ago. I have a master’s degree in Agronomy from the Engineering School of Montpellier Supagro. I lived in Brazil for six months during a student exchange program, where I had the chance to discover more about remote sensing and new technology…

Read More

EarthDaily Agro and Infopulse Help a Large Ukrainian Agro-holding Access Precision Agriculture

Aiming to enable data-driven decisions and ensure more efficient use of its resources, one of the leading industrial agro-holdings in Ukraine decided to adopt the precision agriculture approach. The company’s primary objective was to engineer a modern cloud-based data platform that would gather, consolidate, and analyze vast volumes of agricultural data, including high-resolution satellite images…

Read More

Employee Spotlight: Alexis Durand

How long have you been at EarthDaily Agro? Three years. What’s your current position, and what does it entail? I am a data scientist and as such I am responsible for creating analytics based on machine learning and deep learning. Specifically, I work on detecting objects in satellite images, such as irrigation systems (pivots). I…

Read More

Employee Spotlight – Yuriy Pekun

While working at the Ministry of Finance of Ukraine, Yuriy Pekun discovered a deep passion for agriculture. This led him to pursue and obtain a master’s degree in agronomy and crop science, which was a turning point in his career. Before joining the EarthDaily Agro team, he served as an agronomist for seed growing companies.…

Read More

Satellite – Scaling Up Carbon Farming 

In recent years, many studies on carbon farming practices have been done. Optimizing carbon capture on working landscapes is expanding in the United States and in other major production areas around the world. In coordination with these efforts, a framework is being structured that encompasses political and financial incentives, regulatory frameworks, contracted production, and debate…

Read More

$1 Million Grant to Fund New EASY4Ag Program From EarthDaily Agro

Earlier this year, the prestigious I-NOV competition for French creative businesses and industry disruptors awarded EarthDaily Agro a significant grant of $1 million to address pressing agriculture challenges. With existing analytics capabilities and an upcoming next-generation satellite constellation, EarthDaily Agro has been recognized for major contributions to agricultural sustainability. EarthDaily Agro’s overall goal is to…

Read More

Employee Spotlight: Pierre Carrere

portrait of Pierre

Pierre joined EarthDaily Agro in early 2017 as Farmsat Product Manager. Prior to EarthDaily Agro, he was working on Precision Ag topic Products as part of the Farmsat Team. At Arvalis-Institut du Végétal, he had the opportunity to learn about applied remote sensing from reference Agronomists in France. Moving from Precision Ag to regional monitoring,…

Read More