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Digital agriculture, genetics, forages featured at Beeville station field day

Digital agriculture, genetics, forages featured at Beeville station field day
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Adaptive Swarm Robotics Could Revolutionize Smart Agriculture

The multidisciplinary research team believes that by utilizing swarm robotics to reduce soil compaction and working to avoid herbicide-resistant weeds through nonchemical methods of control, significant ecological and environmental benefits can be achieved.

Maeda s sacrifices yield successful cotton career, Beltwide award

Shelley E. Huguley Texas A&M AgriLife Extension Cotton Specialist Murilo Maeda- The 2021 Dr. J. Tom Cothren Outstanding Young Cotton Physiologist Award recipient. Murilo Maeda receives J. Tom Cothren Outstanding Young Cotton Physiologist Award. Cotton Specialist Murilo Maeda, Texas A&M AgriLife Extension, Lubbock, received the 2021 Dr. J. Tom Cothren Outstanding Young Cotton Physiologist Award at the virtual Beltwide Cotton Conferences on Jan. 7, 2021.  Texas A&M AgriLife Research and Extension Center Director Juan Landivar, Corpus Christi and Weslaco, presented the award, referring to Maeda as a family friend.   Dr. Maeda satisfies the essence of this award with his work ethic, dedication, collaborative nature, and intellect, as well as his accomplishments,  Landivar said. 

Digital agriculture connects dots for crop improvement

Texas A&M AgriLife Extension Service photo The Digital Agriculture Program uses drones to gather data that can be analyzed and interpreted to help agricultural crop producers make important decisions. Drones, big data, practical application cornerstones for agricultural enhancement Crop production is getting a boost thanks to high-tech methods of collecting, managing and analyzing data that are being used by Texas A&M AgriLife researchers and others. “Researchers with Texas A&M AgriLife Research, along with Texas A&M AgriLife Extension Service agents and experts at Texas A&M University-Corpus Christi and Purdue University, have been creating a platform for collecting and analyzing data from images provided by unmanned aerial vehicles,” said Juan Landivar, director for the Texas A&M AgriLife Research and Extension Center at Corpus Christi. “This process of gathering ‘big data’ for analysis and interpretation for practical application on th

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