CASE STUDYAgriTech / IoT / Entrepreneurship

AgroEscudo

A Bolivian AgriTech venture focused on visibility into agricultural storage conditions through sensors, connectivity and digital monitoring.

Documented sources2026–
AgroEscudo team at AgroTECH, as documented on the project website.
AgroEscudo team at AgroTECH, as documented on the project website.

AgroEscudo addresses the need to observe storage conditions before losses become visible. The project combines a team’s technical development with product leadership and sector engagement.

Individual role
Founder & CEO · Team and product leadership
Development stage
MVP and validation activities described in public and supplied sources
Period
2026–

01CHAPTER

The challenge

Problem

Storage operators need timely information on conditions that can affect grain quality. The venture focuses on monitoring and operational decisions rather than replacing the operator’s expertise.

Context

La Razón documents the initiative’s UMSS hackathon origin and MVP stage in May 2026. Later coverage describes the Climatech program and a pilot estimate reported by the team.

Objectives

Turn sensor readings into useful records, alerts and a history of actions that can support storage decisions.

02CHAPTER

The insight

The insight

A reading is most useful when it can be connected to a location, a trend and an operator’s response. That framing connects the hardware and the monitoring interface.

03CHAPTER

The solution

Proposed solution

The current website presents sensors, local LoRa connectivity, a gateway and a digital platform for alerts, history and reporting. Exact installation details depend on each site.

04CHAPTER

The engineering

Technical architecture

The public architecture is a system-level concept: sensing → local transmission → gateway → API → monitoring → action. It is not an as-built diagram or an individual authorship record. The CV names SiloSensor and CampoSensor as team developments.

IoTLoRaSensors / SensoresGatewayMonitoring / Monitoreo

SYSTEM FLOW · EXPLANATORY DIAGRAM

  1. Sensors
  2. LoRa & gateway
  3. Platform
  4. Operational decision
Diagram of the project’s publicly described approach. It is not a verified installation or an audited implementation architecture.

05CHAPTER

The development journey

Development process

The documented journey spans prototype development, reported test activities, incubation and sector presentations. The team photograph and platform screenshot provide distinct evidence of participation and product presentation.

Prototypes & demonstrations

The CV reports activities at Granja Vida Linda, CIF-UMSS and Agronomy facilities. These are declared experiences; calibration records, dates and third-party reports were not provided.

06CHAPTER

Validation & evidence

Validation & methodology

Portal Verde attributes pilot estimates to the startup. Those statements do not establish causal loss reduction or an independently audited economic benefit.

Documented results

FEPC records first place in the AI applications category of KAMAY 2026. Separately, Portal Verde reports team estimates involving 184 tonnes, 4.6 tonnes of avoided losses and more than Bs 9,000; these remain pending independent validation.

07CHAPTER

My contribution

Individual contribution

Founder leadership, team coordination, product direction and project presentation. The CV describes work with a team; ownership of every hardware, firmware or software component is not assigned to me individually.

08CHAPTER

Lessons & next steps

Limitations

The available material does not establish sensor accuracy, signed client contracts, recurring revenue, patents or independently validated savings. Platform images use demonstration data.

Lessons & next steps

Field context and documentation matter as much as the prototype. Participation, awards and a technical claim need different kinds of evidence.

Next steps

Document test conditions, calibrations, measurement continuity and operator actions, then publish a traceable pilot report with permission from the responsible site.

THE PROJECT IN CONTEXT

2026-10-21KAMAY 2026 · AI category, first place
Primary source

FEPC · Cochabamba

AgroEscudo is named first in Production and Services with AI Applications. This is a category result, not an overall award across all categories.

Sources & references

Sources & references

Next initiativeDOCIA

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