How can we, humans, look at our relationship to nature differently? In season three of Going Wild, on top of stories about animals, we invite you to journey through the entire ecological web — from the tiniest of life forms to apex predators — alongside the scientists, activists and adventurers who study it. Wildlife biologist and host Dr. Rae Wynn-Grant has been studying wild animals in their natural habitats all over the world for years. Our award-winning podcast takes you inside the hidde ...
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Контент предоставлен Yara Crop Nutrition. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Yara Crop Nutrition или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.
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Visualizing Success: How Imagery is Helping Farmers Improve Yields and Profits
Manage episode 360361132 series 2409625
Контент предоставлен Yara Crop Nutrition. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Yara Crop Nutrition или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.
In this episode, we explore the use of aerial imagery in modern agriculture. The episode covers different types of aerial imagery available to farmers, such as drones, airplane, and satellite imagery, and discusses the advantages of using this technology for crop monitoring. Imagery expert, Jesus Salcedo with the Morningstar company talks about the challenges and limitations of using aerial imagery in agriculture, as well as the potential for new technologies such as hyperspectral imaging and machine learning to transform the way farmers use and interpret this data. Overall, the episode highlights the potential benefits and considerations of using aerial imagery in precision agriculture.
Find out more about Morningstar Company HERE
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205 эпизодов
Поделиться
Manage episode 360361132 series 2409625
Контент предоставлен Yara Crop Nutrition. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Yara Crop Nutrition или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.
In this episode, we explore the use of aerial imagery in modern agriculture. The episode covers different types of aerial imagery available to farmers, such as drones, airplane, and satellite imagery, and discusses the advantages of using this technology for crop monitoring. Imagery expert, Jesus Salcedo with the Morningstar company talks about the challenges and limitations of using aerial imagery in agriculture, as well as the potential for new technologies such as hyperspectral imaging and machine learning to transform the way farmers use and interpret this data. Overall, the episode highlights the potential benefits and considerations of using aerial imagery in precision agriculture.
Find out more about Morningstar Company HERE
Learn more about Gradient Crop Yield Solutions HERE
205 эпизодов
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Похожие на Yara's Crop Nutrition podcast
How can we, humans, look at our relationship to nature differently? In season three of Going Wild, on top of stories about animals, we invite you to journey through the entire ecological web — from the tiniest of life forms to apex predators — alongside the scientists, activists and adventurers who study it. Wildlife biologist and host Dr. Rae Wynn-Grant has been studying wild animals in their natural habitats all over the world for years. Our award-winning podcast takes you inside the hidde ...
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continue reading
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Player FM - приложение для подкастов
Работайте офлайн с приложением Player FM !
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