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What does AI mean for smallholder farmers?

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1145/3274434openalex-snapshot
Growing Tiny Publics
inferredcites →https://doi.org/10.1145/3298735openalex-snapshot
Toward responsible AI for the next billion users

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-09282-4_41openalex-snapshot
Informativeness in Twitter Textual Contents for Farmer-centric Plant Health Monitoring
inferred← citeshttps://doi.org/10.1007/978-3-031-38387-8_16openalex-snapshot
Informativeness in Twitter Textual Contents for Farmer-Centric Pest Monitoring
inferred← citeshttps://doi.org/10.1007/978-3-031-43605-5_2openalex-snapshot
Empirical Analysis and Evaluation of Factors Influencing Adoption of AI-Based Automation Solutions for Sustainable Agriculture
inferred← citeshttps://doi.org/10.1007/978-3-031-61321-0_16openalex-snapshot
Sustainable Use of Artificial Intelligent Technology: What Is It for the Global South in Achieving Inclusive Development Goals?
inferred← citeshttps://doi.org/10.1007/978-3-031-76758-6_19openalex-snapshot
Harvesting Ethics: Forging Responsible Paths in AI and ML for the Agri-Food Industry
inferred← citeshttps://doi.org/10.1007/s44279-025-00228-1openalex-snapshot
Agroecological sustainability: exploring the intersection of digital agriculture, ethics and the right to food
inferred← citeshttps://doi.org/10.1016/b978-0-32-391919-7.00028-7openalex-snapshot
Socially responsible AI assurance in precision agriculture for farmers and policymakers
inferred← citeshttps://doi.org/10.1016/j.techfore.2025.124209openalex-snapshot
Unraveling the unintended consequences of AI in agriculture: A netnographic analysis and tri-phasic framework for enhanced uncertainty management
inferred← citeshttps://doi.org/10.1051/e3sconf/202447700057openalex-snapshot
Smart Agriculture Solutions: Harnessing AI and IoT for Crop Management
inferred← citeshttps://doi.org/10.1080/12460125.2022.2154419openalex-snapshot
Towards sustainable agriculture: key determinants of adopting artificial intelligence in agriculture
inferred← citeshttps://doi.org/10.1080/12460125.2023.2294398openalex-snapshot
Perceptions of facilitators towards adoption of AI-based solutions for sustainable agriculture
inferred← citeshttps://doi.org/10.1111/cuag.12277openalex-snapshot
Overcoming Barriers to Including Agricultural Workers in the Co‐Design of New AgTech: Lessons from a COVID‐19‐Present World
inferred← citeshttps://doi.org/10.1145/3706598.3713643openalex-snapshot
Normalizing Grit: The Futility of Personal Informatics for Farm Workers and Climate Change
inferred← citeshttps://doi.org/10.1145/3757232.3757277openalex-snapshot
Advancing Sustainable Agricultural Practices in Africa with AI: Interdisciplinary Approaches to Inclusivity and Resilience
inferred← citeshttps://doi.org/10.1145/3772318.3791822openalex-snapshot
HCI for Agroecology: Agri-Tech between Grassroots and Capitalism
inferred← citeshttps://doi.org/10.2991/978-94-6463-122-7_45openalex-snapshot
Weed and Water Stress Detection Using Drone Video
inferred← citeshttps://doi.org/10.3389/frai.2026.1798896openalex-snapshot
Scale, trust, and the digital divide: a systematic review of AI and ML for agricultural applications
inferred← citeshttps://doi.org/10.4018/979-8-3693-0200-2.ch011openalex-snapshot
Empowering Agriculture With Conversational AI
inferred← citeshttps://doi.org/10.55041/ijsrem29725openalex-snapshot
Advancements in Precision Agriculture: Integrating Computer Vision for Intelligent Soil and Crop Monitoring in the Era of Artificial Intelligence
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