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  1. 22 iun. 2023 · AI in agriculture to alleviate problems in the seven main agriculture domains identified: crop management, water management, soil management, fertirrigation, crop prediction,

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  2. 28 mar. 2022 · PDF | On Mar 28, 2022, Tanveer Ahmad Ahngar and others published Artificial intelligence in agriculture, applications, benefits and challenges: A review | Find, read and cite all the...

  3. 23 feb. 2023 · This work presents extensive research on the latest application of AI in agriculture to alleviate problems in the seven main agriculture domains identified: crop management, water management, soil management, fertirrigation, crop prediction, crop classification, disease, and pest management.

  4. We can manage crop health more effectively through AI-powered pest control, agriculture input advisory platforms, and drone-enabled farm mapping and agriculture input applications. We can use IoT to enhance warehousing and logistics, and AI, spectroscopy and blockchain to enhance quality and traceability, and market linkage platforms.

  5. 18 dec. 2020 · The introduction of technology like Artificial Intelligence in agriculture has improved farm management and farming technologies with its flexibility, accuracy, high performance and cost ...

  6. support automation of many resource-consuming tasks in agriculture. This publication presents the reader with a collection of informative applications highlighting various ways AI is used in agriculture and offeringvaluable insights on the implementation process, success factors, and lessons learnt.

  7. 30 ian. 2024 · This review comprehensively examines the integration of AI technologies in precision agriculture to enhance sustainability and optimize farming practices, covering key areas such as crop monitoring, resource management, decision support systems, and automation.

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