Remote Sensing: Advancing the Science and the Applications to Transform Agriculture

Access the IT Professional article through November, on us!

To celebrate World Science Day for Peace and Development, we would like to highlight an example of how science and technology are working together to benefit both agriculture and humanity. We are offering the IT Professional article, Remote Sensing: Advancing the Science and the Applications to Transform Agriculture, for FREE through the end of November 2020.

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Remote sensing is advancing agriculture by allowing individuals to examine surfaces without direct contact.

From plants to animals, to soil and beyond, remote sensing is capable of collecting valuable details and comparing them to a variety of data over various time periods. This allows farmers to forecast and adapt, which has been vital to agricultural success.

Its cost-effective impact and unmatched speed and insight have had a massive influence on farms and their production.

Unmanned vehicles allow farmers to collect data such as crop health, water availability, and attacks from pests. It also allows them to conveniently evaluate the light spectrum and its impact on different objects.

It is capable of determining where crops will thrive, what conditions they can withstand, and, when necessary, what corrective actions should take place.

Explore the untapped value of remote sensing by reading Remote Sensing: Advancing the Science and the Applications to Transform Agriculture today!


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Remote sensing has proven to provide agriculture with many different assessments for crop vigor and productivity. The continual evolution of remote sensing instrumentation and platforms has provided new opportunities to use these tools in the assessment of agricultural systems. The application of remote sensing to quantify the spatial variation in production fields across the Midwest over multiple years has revealed there are three stability zones: the high yielding stable zone, the low yielding stable zone, and the unstable zone. These are derived using a combination of thermal images to detect areas of water stress and the normalized difference vegetative index to assess crop vigor and efficiency of light capture. Development of tools using remote sensing coupled with artificial intelligence and machine learning can transform agriculture through the ability to identify variable areas within fields but also determine the potential adaptive strategies to increase the profitability for each field while reducing the environmental impact through more efficient use of nutrients and pesticides. Development of new tools using remote sensing fulfills the vision of integrating many sources of information into decision making at the field and farm scale.