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\title{\Large Paper 030 / Application 007\\[0.6em]\textbf{Planetary Intelligence Sensor Fusion for Water, Agriculture, Infrastructure, and Risk}\\[0.3em]\large A local-first JMP0X1B architecture for EO, field sensors, scoring, and simulation}
\author{JMP0X1B Research Group}
\date{Working paper draft / June 13, 2026}
\begin{document}
\maketitle
\begin{abstract}
This paper proposes a Planetary Intelligence application stack aligned with JMP0X1B development vectors. It fuses Earth-observation imagery, field sensors, hydrometeorological data, infrastructure observations, and operator reports into decision products for agriculture, water stress, terrain change, disaster monitoring, and operational risk. The architecture is local-first and resilient under weak connectivity.
\end{abstract}

\noindent\textbf{Status.} Draft manuscript for review and revision. This paper is not an empirical claim of new physics or field-ready technology. It is a structured proposal, theory note, protocol, or application architecture intended to be auditable, falsifiable, and publishable with source.

\tableofcontents
\newpage

\section{Problem}
Many Earth systems need decisions under incomplete, delayed, or low-trust data. Central cloud workflows fail in remote fields, disaster zones, and infrastructure corridors with weak connectivity. The problem is to fuse heterogeneous data into useful decisions while preserving provenance, uncertainty, and local operability.

\section{Model}
The stack uses typed observation frames, spatial indexes, uncertainty envelopes, simulation models, and policy outputs. Data products are scored by decision utility and confidence, not just model accuracy. Local agents can operate offline and synchronize artifact digests later.


\[
  z_t = f(x^{EO}_t,x^{sensor}_t,x^{report}_t,x^{model}_t),
  \qquad
  r_t=\mathrm{Risk}(z_t,\sigma_t,C_{\mathrm{action}}).
\]
\[
  U(a)=\mathbb{E}[B(a,z)-C(a)-L(a,r)] .
\]


\section{Claims}
\begin{enumerate}
\item \textbf{Claim 1.} Planetary intelligence systems should optimize operational decisions, not only predictive accuracy.
\item \textbf{Claim 2.} Local-first execution is essential for agriculture, disaster, and infrastructure contexts with degraded connectivity.
\item \textbf{Claim 3.} Typed sensor-fusion contracts reduce ambiguity between observation, model, and human report.
\item \textbf{Claim 4.} The same architecture prepares Earth systems for off-world autonomy constraints.
\end{enumerate}

\section{Evidence Plan}
Prototype evidence should include three pilots: irrigation-risk scoring, infrastructure change detection, and disaster-access assessment. Each pilot reports data latency, missingness, uncertainty calibration, operator correction rate, and action value.

\section{JMP0X1B Implementation Surface}
JMP0X1B packages for EO ingest, geospatial core, sensor fusion, change detection, risk models, telemetry, and provenance can define the application surface. Field nodes should degrade gracefully and sync signed summaries when connectivity returns.

\subsection*{Illustrative JMP0X1B-style contract}
\begin{verbatim}
record Observation<T> { value: T, location: GeoCell, time: Time, uncertainty: Uncertainty, source: Provenance }
fn fuse(frames: List<Observation<Any>>) -> DecisionSurface effects{SensorFusion, Geo, Audit}
\end{verbatim}


\section{Release And Review Plan}
Release a reference data schema, synthetic pilot datasets, uncertainty scoring notebooks, and operator-facing decision reports.

\section{Open Questions}
\begin{itemize}
\item Which first pilot has the highest value per sensor deployed?
\item How should local operator corrections update the model without corrupting provenance?
\item Can risk scores remain useful under severe cloud cover?
\item What data products should be small enough for low-bandwidth synchronization?
\end{itemize}

\section{Conclusion}
Planetary Intelligence is a grounded application track: Earth usefulness first, off-world discipline in the architecture.

\section*{References}
\begin{thebibliography}{99}
\bibitem{jmp_main} JMP0X1B. \emph{Technology for Earth, designed with space as the operating condition}. \url{https://jmp0x1b.com/}
\bibitem{jmp_libs} JMP0X1B. \emph{jmp0x1b Package Registry}. \url{https://libs.jmp0x1b.com/}
\bibitem{jmp_sensor_fusion} JMP0X1B. \emph{jmp0x1b\_sensor\_fusion package}. \url{https://libs.jmp0x1b.com/packages/jmp0x1b_sensor_fusion}
\bibitem{jmp_provenance} JMP0X1B. \emph{jmp0x1b\_provenance package}. \url{https://libs.jmp0x1b.com/packages/jmp0x1b_provenance}
\bibitem{wilkinson} M. D. Wilkinson et al. The FAIR Guiding Principles for scientific data management and stewardship. \emph{Scientific Data}, 3:160018, 2016.
\bibitem{prov} World Wide Web Consortium. \emph{PROV-DM: The PROV Data Model}. W3C Recommendation, 2013. \url{https://www.w3.org/TR/prov-dm/}
\end{thebibliography}

\end{document}
