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    <title>Agriculture, Livestock, Forestry and AI</title>
    <description>A weekly briefing on how artificial intelligence is being adopted in agriculture, livestock farming and forestry around the world: crops, horticulture, precision agriculture and farm machinery; animal health, feed, breeding and precision livestock farming; forest management, pests and wildfire prediction and detection. Provided by South Korean lawyer Kyungjin Kim. Visit kimkj.com for more information.</description>
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    <itunes:author>Kyungjin Kim</itunes:author>
    <itunes:owner><itunes:name>Kyungjin Kim</itunes:name><itunes:email>kimkj008@gmail.com</itunes:email></itunes:owner>
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      <title>AI Finds Salt Tolerant Rice Genes | Agriculture, Livestock, Forestry and AI 2026-10-31</title>
      <description>Items covered in this episode: AI智能体“绿洲”发布  助力植物抗逆研究.

A two-host discussion based on source-verified material about artificial intelligence in agriculture, livestock farming and forestry, collected during the past seven days (168 hours) as of 2026-10-31.

Sources: collection reports of the Yeontanmaek collector on AI in agriculture, livestock and forestry (verified items only; sections: AI智能体“绿洲”发布  助力植物抗逆研究). Produced with NotebookLM Audio Overview. The list above shows source titles, not a guarantee of the audio discussion’s order or coverage.

This program provides news and information; the stage of each case (research, pilot, field deployment) follows the source material. A sector without items means no verified material was found in the past seven days (168 hours) of collection, not that no activity occurred.

This program is provided by South Korean lawyer Kyungjin Kim. Visit kimkj.com for more information.

Follow on Apple Podcasts: https://podcasts.apple.com/us/podcast/id6825187525</description>
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      <pubDate>Sat, 31 Oct 2026 09:00:56 +0900</pubDate>
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      <title>How AI Monitors Livestock Crops and Forests | Agriculture, Livestock, Forestry and AI 2026-10-24</title>
      <description>Items covered in this episode: Place-based artificial intelligence for wildlife monitoring in Hawaiʻi; Leveraging AI to Support Wildfire Response with Research and Innovation; AI for plant and animal health; Data: the raw material of agricultural innovation; AI as a driver of innovation in renewed agricultural practices; Controlling the pinewood nematode: finding the best balance between cost and effectiveness; AI: an ally for the agroecological transition? AI governance for agriculture; Health, water and digital technologies: TSARA addresses Africa’s food system challenges.

A two-host discussion based on source-verified material about artificial intelligence in agriculture, livestock farming and forestry, collected during the past seven days (168 hours) as of 2026-10-24.

Sources: collection reports of the Yeontanmaek collector on AI in agriculture, livestock and forestry (verified items only; sections: Place-based artificial intelligence for wildlife monitoring in Hawaiʻi, Leveraging AI to Support Wildfire Response with Research and Innovation, AI for plant and animal health, Data: the raw material of agricultural innovation, AI as a driver of innovation in renewed agricultural practices, Controlling the pinewood nematode: finding the best balance between cost and effectiveness, AI: an ally for the agroecological transition? AI governance for agriculture, Health, water and digital technologies: TSARA addresses Africa’s food system challenges, ERC Starting Grant to explore orphan crop potential, Data and local initiatives in Africa, forestry). Produced with NotebookLM Audio Overview. The list above shows source titles, not a guarantee of the audio discussion’s order or coverage.

This program provides news and information; the stage of each case (research, pilot, field deployment) follows the source material. A sector without items means no verified material was found in the past seven days (168 hours) of collection, not that no activity occurred.

This program is provided by South Korean lawyer Kyungjin Kim. Visit kimkj.com for more information.

Follow on Apple Podcasts: https://podcasts.apple.com/us/podcast/id6825187525</description>
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      <pubDate>Sat, 24 Oct 2026 23:02:22 +0900</pubDate>
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    <item>
      <title>South Korean AI Harvesters and Fire Sensors | Agriculture, Livestock, Forestry and AI 2026-10-21</title>
      <description>Items covered this week: 농식차관, AI 농업로봇 실증 현장 방문…기업 애로 청취; [동정] 농식품부 차관, AI 농업로봇 실증 현장 방문; 경북농기원, ‘AI 농업로봇 현장방문과 기업 간담회’ 열어; 한국임업진흥원, 환경부문 최우수상…AI로 산림 지키고 ESG 혁신 이끌어; 속리산 AI 산불감시, 작은 불꽃·연기까지 조기 포착.

A two-host discussion based on source-verified material about artificial intelligence in agriculture, livestock farming and forestry, collected during the week ending 2026-10-21.

Sources: weekly reports of the Yeontanmaek collector on AI in agriculture, livestock and forestry (verified items only; sections: agriculture, forestry). Produced with NotebookLM Audio Overview. The list above shows source titles, not a guarantee of the audio discussion’s order or coverage.

This program provides news and information; the stage of each case (research, pilot, field deployment) follows the source material. A sector without items means no verified material was found in this week’s search, not that no activity occurred.

This program is provided by South Korean lawyer Kyungjin Kim. Visit kimkj.com for more information.

Follow on Apple Podcasts: https://podcasts.apple.com/us/podcast/id6825187525</description>
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      <pubDate>Wed, 21 Oct 2026 13:40:06 +0900</pubDate>
      <itunes:duration>19:45</itunes:duration>
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