mlsanityData to 7 Oct 2026

AGI for Agriculture

arXiv 2304.06136 ↗First posted 12 Apr 2023cs.AI cs.CYcited by 9

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Abstract (arXiv)

Artificial General Intelligence (AGI) is poised to revolutionize a variety of sectors, including healthcare, finance, transportation, and education. Within healthcare, AGI is being utilized to analyze clinical medical notes, recognize patterns in patient data, and aid in patient management. Agriculture is another critical sector that impacts the lives of individuals worldwide. It serves as a foundation for providing food, fiber, and fuel, yet faces several challenges, such as climate change, soil degradation, water scarcity, and food security. AGI has the potential to tackle these issues by enhancing crop yields, reducing waste, and promoting sustainable farming practices. It can also help farmers make informed decisions by leveraging real-time data, leading to more efficient and effective farm management. This paper delves into the potential future applications of AGI in agriculture, such as agriculture image processing, natural language processing (NLP), robotics, knowledge graphs, and infrastructure, and their impact on precision livestock and precision crops. By leveraging the power of AGI, these emerging technologies can provide farmers with actionable insights, allowing for optimized decision-making and increased productivity. The transformative potential of AGI in agriculture is vast, and this paper aims to highlight its potential to revolutionize the industry.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 85 of its 211 references that are in the map. First posted on arXiv 12 Apr 2023.

Builds on

85 of 211 references.

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50 most cited of 85 All 85 (JSON)

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Cited by year

Citing papers per year: 2023: 7; 2024: 1; 2025: 1.

9 papers.

  1. 2024Large Language Models for Robotics: Opportunities, Challenges, and Perspectivescited by 88
  2. 2023Review of Large Vision Models and Visual Prompt Engineeringcited by 77
  3. 2023AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiologycited by 34
  4. 2023Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applicationscited by 21
  5. 2023InterAct: Exploring the Potentials of ChatGPT as a Cooperative Agentcited by 16
  6. 2023Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challengescited by 14
  7. 2025Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challengescited by 14
  8. 2023SAM for Poultry Sciencecited by 6
  9. 2023Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challengescited by 4