Built Hands-On, Guided by the Field.
AgriSense is currently a bootstrapped, solo-founder concept and a product of NhieuTruyen, led by a technical founder with 8 years of software engineering experience across multiple production systems. The immediate focus is to move from research and landing-page validation to a working Claude-first MVP.
Founder
Hung Dao
Founder & Lead Developer
Software engineer with 8 years of hands-on experience building and maintaining systems across multiple domains. At AgriSense, Hung leads product architecture, AI integration, full-stack development, and delivery — turning practical field problems into reliable tools for farmers and partners.
Technical Inspiration & Open Research
AgriSense is inspired by foundational research and open agricultural datasets. These references inform the planned MVP, but the product still needs field validation.
"Attention Is All You Need"
Vaswani et al., 2017 — The Transformer architecture paper that underpins modern large language models, including Claude. AgriSense plans to use transformer-based multimodal reasoning for crop advisory workflows.
NeurIPS 2017 · Google ResearchClaude Model Documentation
Anthropic's Claude model documentation informs the planned crop photo and symptom reasoning workflows. Voice notes will be transcribed before Claude processes them.
Anthropic · Claude DocumentationAlphaFold & Protein Structure Prediction
Google DeepMind, 2020–2024 — Proof that AI can solve fundamental life-science challenges at scale. AlphaFold's success inspired our conviction that AI can similarly transform agricultural diagnostics.
Nature, 2021 · Nobel Prize in Chemistry, 2024Constitutional AI: Harmlessness from AI Feedback
The MVP will be designed with responsible AI practices in mind, including transparent limitations, source grounding, and human review for safety-sensitive agricultural advice.
Bai et al., 2022 · Anthropic ResearchAdvisor Profiles We Are Seeking
These are target advisor profiles for the pilot stage. They are not presented as confirmed board members.
Plant Pathology Advisor
Target Profile
A Vietnam-based agronomist or plant pathology specialist who can review diagnosis quality and treatment safety during pilot testing.
Cloud & AI Advisor
Target Profile
An AI architecture mentor familiar with Claude APIs, vetted-source retrieval, cloud deployment, and cost controls.
Agri-Finance Advisor
Target Profile
A rural finance or cooperative operator who can validate willingness to pay, distribution, and subsidy assumptions.
SEA Expansion Advisor
Target Profile
A Southeast Asia agriculture or development-sector advisor who can help assess regional expansion only after Vietnam validation.
Potential Research Collaborators
These are relevant institutions and open resources to approach or reference. No formal partnership is claimed unless separately documented.
Nông Lâm University
Ho Chi Minh City, Vietnam
Potential local collaborator for tropical crop disease review, student research, or agronomist validation if a pilot partnership is agreed.
Kasetsart University
Bangkok, Thailand
Potential future collaborator for Thai agricultural terminology and crop disease validation if regional expansion becomes justified.
IRRI — Open-Access Datasets
Los Baños, Philippines
Candidate open-access references for building the initial taxonomy and evaluation set. They are not yet evidence of a trained production diagnostic engine.
Current Stage & Next Milestones
AgriSense is at the concept-to-MVP stage. The timeline below reflects planned validation milestones rather than completed field deployment.
Idea & Research
Defined the product thesis, target users, Claude-first architecture, and initial landing page for early feedback.
MVP Prototype
Build the first lightweight workflow using Claude: crop image upload, symptom input, grounded draft response, and feedback capture.
Field Validation
Recruit a small farmer/cooperative pilot after MVP completion and measure diagnosis usefulness, agronomist agreement, latency, and cost.
Partnership & Funding Decisions
Use pilot evidence to decide whether to pursue cooperative partnerships, grants, cloud credits, or a later fundraising process.
Join the Mission.
We are looking for early collaborators, mentors, agronomists, and Anthropic API support to turn this concept into a small, testable MVP.