- Author: Sarah L Marsh
- Posted by: Sam Romano
Globally, approximately 570 million small and medium-sized farms need training in various agricultural fields. However, the delivery of agriculture training faces significant challenges. In some areas, the difficulty in obtaining this training has led to people turning to generative artificial intelligence (AI) models such as ChatGPT to ask questions relating to their agricultural production.
The way that ChatGPT and other models work is that the models are trained on vast amounts of data to learn patterns and relationships between words. This enables the models both to understand language in nuanced ways and to generate answers to a wide range of prompts, which means that ChatGPT can become adapted to specific uses and...
- Author: Emily Dooley
- Posted by: Gale Perez
![Johnsongrass identified growing near agricultural land using Google Street View. The yellow boxes were designated by artificial intelligence; the red boxes were drawn by human hand. (Mohsen Mesgaran/UC Davis)](https://ucanr.edu/blogs/UCDWeedScience/blogfiles/103677small.jpg)
AI enables low-cost tracking of invasive johnsongrass
To manage johnsongrass, a noxious weed that crowds out cotton and sickens horses, farmers have tried herbicides, burning and hand-pulling. Now, researchers in the UC Davis Department of Plant Sciences have developed a more high-tech weapon against the invasive weed: artificial intelligence and machine learning.
Using photos from Google's Street View database, the researchers have tracked down more than 2,000 cases of johnsongrass in the Western United States for a fraction of the cost and time that it would take for drive-by or other in-person surveys. They call their tool Google Weed View.
The advancement could...
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