Drones Could Help Manage Big Agricultural Commodity in California

AeroVironment Inc., a provider of unmanned aircraft systems (UAS) for both military and commercial applications, has begun a yearlong study with California State University, Fresno to research how UAS imagery and analytics could potentially detect varying levels of water stress in almond trees and, in turn, give producers smarter insights to make more effective in-season decisions regarding water management.

“Improved crop management is a major goal for all growers, including almond producers,” says Jon Self, vice president of AeroVironment’s commercial information solutions. “Working closely with the plant science experts at Fresno State’s globally recognized Jordan College of Agricultural Sciences and Technology, we look forward to developing a reliable and effective means of correlating multispectral data with almond tree hydration data to provide growers with better insight so they can proceed with certainty.”

According to AeroVironment, almonds represent the state’s second largest agricultural commodity; in fact, they were valued at $5.33 billion in 2015, according to the California Department of Food and Agriculture.

In addition, says AeroVironment, the Almond Board of California reports that almonds account for approximately 14% of California’s total irrigated farmland. To assure long-term sustainability, almond producers are increasingly turning to advanced technologies to push the envelope of water-use efficiency while serving as good stewards of this limited resource, the company says.

AeroVironment will deploy its Puma UAS, configured with a 24-megapixel photogrammetric camera and six-channel multispectral sensor, to capture data and aerial imagery of the Fresno State University Agricultural Laboratory (UAL) orchards.

AeroVironment’s DSS, a cloud-based analytics platform, will then process and analyze the data for correlation with ground measurements. The team will test several linear and non-linear geospatial data algorithms for statistical correlation and predictability validated by ground-level hydration data.

Fresno State researchers and UAL campus farm staff will closely monitor the hydration levels of almond trees, as well as environmental and crop conditions, by using a variety of soil and plant sensors.

Together, the team aims to gain a greater understanding of what types of imagery and data output will allow almond producers to make better decisions regarding the fine balance between water management and the needs of the crop to obtain optimal yield, AeroVironment explains.

Results of the yearlong study are expected to be available in September 2017.

1 COMMENT

  1. I am a remote sensing scientist in Clovis, CA. I am interested in talking to someone at AV about the information extraction algorithms that I have developed for agricultural mapping and monitoring based on multispectral data taken from a drone. Please contact me. Thanks!

LEAVE A REPLY

Please enter your comment!
Please enter your name here