Farmonaut: AI Crop Monitoring with Satellite Maps

Farmonaut is a precision-agriculture platform that blends satellite imagery, weather data, and AI models to monitor crop health, flag anomalies, and guide irrigation and nutrition decisions. Its ecosystem includes a Satellite & Weather API, the Jeevn AI agronomy advisor, and the Agro Admin App for field operations. For SMEs, this means saving inputs, reducing risk, and improving planning; without installing sensors on every plot.

AgentAya Verdict

Farmonaut offers a scalable entry into satellite crop monitoring and AI agronomy. Its mix of NDVI/NDWI maps, Jeevn AI, and data APIs makes it straightforward to pipe precise signals into your own systems. It’s a mature, globally used solution, though docs/support are primarily in English. We recommend it as a strong starting point for SMEs looking to digitise crop observation and automate irrigation/fertiliser decisions at a low entry cost.

Score Breakdown

Category	Score	Description
Features & capabilities	4.4 ⭐⭐⭐⭐	NDVI/NDWI, Jeevn AI, satellite API, agronomic alerts.
Integrations	4.0 ⭐⭐⭐⭐	Satellite & weather APIs compatible with in-house systems.
Language & support	3.4 ⭐⭐⭐	Web/docs in English; Spanish support not guaranteed.
Ease of use	4.3 ⭐⭐⭐⭐	Ready-made maps and mobile app for quick decisions.
Value for money	4.2 ⭐⭐⭐⭐	Flexible plans by hectares and image frequency.

Overall AgentAya Score: ⭐⭐⭐⭐ 4.2 / 5

Solid balance of satellite capability, AI guidance, and SME accessibility.

Key Features

• Satellite monitoring with NDVI, NDWI, EVI, SAVI to spot water/nutrient stress and compare seasons.
• Historical series to analyse rainfall, irrigation, and fertilisation.
• Jeevn AI: automated advice for irrigation, fertiliser, and pest-risk.
• iOS & Android apps with colour-coded views and one-click reports.
• Satellite & weather data APIs (JSON) with global coverage.

AI Features

Farmonaut applies AI at two levels:

1. AI-assisted Remote Sensing: algorithms process satellite imagery to produce NDVI/NDWI metrics and stress alerts.
2. Jeevn AI Advisor: uses evapotranspiration, moisture, and weather to plan irrigation, fertilisation, and pest management.
   

Integrations

A REST API exposes satellite layers, historical climate, and forecasts using Bearer token auth and JSON outputs. Works with web/mobile apps and enterprise clouds. Coordinate with IT for key management and API consumption.

Security & Data Protection

Farmonaut Technologies Private Limited states privacy and security controls aimed at protecting personal/operational data.

• Data ownership: customers retain ownership; data used to operate/improve services per Privacy Policy/Terms.
• Third-party services: Google Play Services, Facebook Audience Network, Firebase (Auth/Analytics) may collect technical identifiers and usage events under their own policies.
• Encryption & controls: encrypted in transit/at rest; commercially reasonable safeguards; audits to reduce unauthorised access risk. Use up-to-date devices; avoid root/jailbreak.
• Payments: SSL, secure gateways, fraud checks, extra authentication for high-value ops, periodic audits.
• Policy updates: aligns with international norms (e.g., GDPR) and app-store guidelines; changes communicated via site/app/email.

SME tip: request the latest DPA, encryption schema, and data retention schedule before integrating with internal systems.

Language – Support & Interface

Docs/support are primarily in English. The tool is multilingual and can offer Spanish assistance on request, subject to availability.

AI Language – The Tool

The AI works on numeric/satellite data (not natural-language prompts). Outputs are maps and visual reports, minimising language barriers for end users.

Mobile Access (iOS, Android, Web)

Native Android & iOS apps plus web access. View maps, receive alerts, and sync data in real time.

Onboarding & Account Management

Includes tutorials, technical docs, and FAQs. SMEs should assign an internal owner to register fields, validate polygons, and configure APIs, which speeds implementation.

Ease of Use / UX

A visual, map-centric interface with comparative layers. Medium learning curve: start with NDVI, then add Jeevn AI. Many SMEs see fewer errors and optimised irrigation/fertilisation within weeks.

Pricing & Plans

Scalable plans by image frequency and monitored area. Monthly/annual options plus custom enterprise tiers. Supports international payments (cards, PayPal, SSL). API/enterprise usage available by arrangement.

Bottom line: flexible and scalable for both small holdings and multi-farm organisations, with try-before-buy options.

Case Study

A mid-sized grain producer (≈600 ha) adopted Farmonaut to monitor NDVI across multiple fields. Three low-NDVI zones were flagged; Jeevn AI recommended targeted irrigation and corrective fertilisation. Outcome: reduced water stress and improved stand uniformity without increasing water costs.

Farmonaut vs Alternatives

Farmonaut vs Auravant

Both are AgTech platforms, but with different emphases. Farmonaut focuses on satellite monitoring + AI decision support (weather + vegetation indices) with APIs and Jeevn AI, offering global availability and straightforward integration to ERPs/BI via secure JSON. Auravant emphasises collaborative field management and environment-based prescriptions with a very intuitive UI; API maturity and global coverage may differ.

Farmonaut vs CattleEye

Complementary domains. Farmonaut targets row and broad-acre crops: NDVI/NDWI/EVI/SAVI, stress detection, and Jeevn AI recommendations. CattleEye targets dairy livestock: computer-vision lameness detection and BCS from parlour-exit video. Farmonaut requires no local hardware (satellite-only), whereas CattleEye needs a parlour camera both process in the cloud. Mixed crop-livestock operations can run both side-by-side.

FAQs

Is Farmonaut a good tool for agri-SMEs?

Yes, scalable and ready to use.

Does it have an API?

Yes, satellite and weather APIs with JSON output.

Is there a mobile app?

Yes, Android, iOS, and web access.