Precision Agriculture Technologies (Q166974): Difference between revisions

From geokb
(‎Changed label, description and/or aliases in en, and other parts: removed Deep Learning from aliases; added Q169133 to addresses subject)
(‎Changed label, description and/or aliases in en, and other parts: modified description with assistance from Llama 3.1)
description / endescription / en
This cluster of papers focuses on the advancements in precision agriculture technologies, including the use of deep learning, machine learning, and image processing for plant disease detection, crop yield prediction, and environmental monitoring
"Applying AI & tech to optimize crop yields, detect diseases, and monitor environments."

Revision as of 13:24, 30 August 2024

"Applying AI & tech to optimize crop yields, detect diseases, and monitor environments."
  • Plant Disease Detection
  • Smart Farming
  • Internet of Things (IoT)
  • Crop Yield Prediction
  • Wireless Sensor Networks
  • Image Processing
  • Agricultural Robotics
  • Environmental Monitoring
Language Label Description Also known as
English
Precision Agriculture Technologies
"Applying AI & tech to optimize crop yields, detect diseases, and monitor environments."
  • Plant Disease Detection
  • Smart Farming
  • Internet of Things (IoT)
  • Crop Yield Prediction
  • Wireless Sensor Networks
  • Image Processing
  • Agricultural Robotics
  • Environmental Monitoring

Statements