Monitor your crops. Know your harvest.
Satellite crop intelligence for growers and processors — understand every field, get an early-stage yield estimate, and act with precision.
Early access includes a 30-day free trial.
Satellite images in one tool
Weather data in another
Spray records in a spreadsheet
When a field underperforms at harvest, most operations can't answer the most basic question: What happened?
How It Works
From boundary to insight in three steps
No sensors to install, no equipment to retrofit — draw your first field and pull imagery the same day.
Draw or upload your fields
Sketch field boundaries directly on the map — or upload an existing boundary file. Acreage is calculated automatically. No hardware required.
Pull imagery on demand
Request current satellite imagery plus 8+ years of history for every field — NDVI, NDRE, MSAVI, NDMI, and true-color RGB — processed when you need it, with automated daily monitoring keeping fields current.
Insights every satellite pass
Health scores, growth stages, alerts, and early-stage yield estimates update with each new pass. Guided in-app tours get your whole team productive on day one.
Sentilli Overview
Crop Monitoring & Intelligence
Command Center
See every field. Know which need attention.
Your entire operation at a glance — grid view, map view, or ranked by performance.
All Fields Dashboard
Every field, every farm, at a glance. Each row shows the current satellite view, a 30-day trend, the vegetation health score, and the latest capture date.
Geographic Map View
See every field positioned on the map with real-time health status. Pull it up from your truck and know exactly where to drive.
Field Leaderboard
Rank every field by vegetation health, stress level, and uniformity. Sort by stress to find which fields need attention today. Group by planting week to compare apples to apples.
It replaces the morning drive and the guesswork — know exactly where to focus before you leave the house.
Built for Every Role
One platform. Two views.
Every field opens in the view that fits the person — plain language for growers, full analytics for agronomists. Each user picks a default and can switch anytime.
A plain-language field dashboard: status banner, big health numbers, the live NDVI map, this week's weather, and a clear “what to do next” — recommendations your whole team can check off together.
The full analytics workspace: every vegetation index, zonation thresholds, time-series charts with weather overlays, soil breakdowns, sensors, and comparison tools — everything an agronomist needs to diagnose a zone.
Field Deep Dive
Watch the season unfold. Understand every zone.
Dive into any field for multi-spectral imagery, growth tracking, soil analysis, and weather correlation.
Five spectral views of every field
Overall photosynthetic activity — how much green, living tissue
Chlorophyll and nitrogen status at the cellular level
Optimized for early season with bare soil between rows
Canopy moisture content — catch water stress before it shows
True-color satellite photo — what it actually looks like
Yield estimate
See where you're headed before you get there.
An early-stage yield estimate for processing tomatoes, built from NDVI trajectory, weather patterns, historical yields, and growth stage. Included in Pro.
“How much will I harvest?”
The ultimate question — answered with data, not guesswork. Overview estimates yield using satellite trajectories, weather accumulation, and field-specific history. The model is at an early stage and sharpens as the season goes on.
- Estimated yield with a likely range
- Timeline chart showing how the estimate evolves through the season
- Contributing factors: NDVI, temperature, GDD, VPD, solar radiation
- Actual vs. estimated comparison after harvest
Overview yield estimate: The estimate refreshes with every satellite pass and gets better as harvest approaches. After harvest, enter your actual yield to see predicted vs. actual for every field, and judge it on your own ground.
Processors plan logistics. Growers negotiate contracts. Everyone makes better decisions.
Action
Turn insight into action.
Knowledge without action is worthless. Go from satellite imagery to sprayer in five minutes.
Create variable rate application maps directly from satellite imagery. Choose classification method, set base rates, and export.
Shapefile (John Deere) · GeoJSON (Climate FieldView) · CSV
Log treatments with product, rate, method, cost, and weather conditions. On the next satellite pass — see whether it worked.
The closed loop: satellite to sprayer to outcome — all in one system.
Drop pins with photos, GPS coordinates, and notes — then assign them to a scout with a priority and due date, and track resolution. By harvest, you have a complete field record.
Waypoints & photos on every plan · Task assignment, personal task queue & overdue detection on Pro
Build an optimized drive route through your fields — by health status or by assigned scouting tasks. Start from your GPS position, cap the distance, and mark fields visited as you go.
Plan by health, task priority or hand-picked fields · Shortest-drive ordering · Progress tracking
Exports to the tools you already use
Intelligence
Ask anything. Compare everything.
Overview Intelligence Chat and sophisticated field comparison tools.
Ask questions in natural language. The AI assistant has access to all field data — imagery history, weather, applications, soil types — and synthesizes answers with specific recommendations.
“Why is the southeast corner of Field 12 underperforming?”
Compare fields side-by-side aligned by days since planting — not calendar date. At 45 days after planting, which field was healthier? And why?
Control for planting window. Isolate what actually made the difference.
Mobile App
The whole operation, from the seat of the truck.
iPhone and Android. Not a cut-down companion — the field work happens here, and it syncs with the web app the moment you have a bar of signal.
Today's CallPro
One recommendation per field, weighed against moisture, canopy, growth stage and the forecast — not a wall of numbers to interpret at the tailgate.
Satellite indices
NDVI, NDRE and MSAVI drawn on your own field boundary, with the mean, spread, minimum and maximum for the block.
The full archive
Scrub back through every pass on record — over 1,300 dates on an established field — with a cloud filter to skip the useless ones.
Operation map
Every field colored by its latest index. Find your own position and drive to the block that actually needs you.
Growth stagePro
Current stage, how far through it you are, and days to the next one — tracked on accumulated growing degree days.
Frost watchPro
Air temperature against your frost threshold for the block, with a push notification before it matters rather than after.
Soil moisturePro
Sensor readings and history per field — or a straight answer that this block has no sensors, instead of an empty chart.
Disease riskPro
Crop-specific disease pressure built from local conditions, on the field where it applies.
Waypoints
Drop a pin with a photo, a GPS fix and notes exactly where you are standing. It is on the desktop map before you reach the truck.
Task queuePro
Only what is assigned to you — overdue, due today, upcoming — each with a checklist and somewhere to log what you actually found.
Scout routesPro
An optimized drive through the fields that need visiting, starting from where you are, with fields ticked off as you go.
Applications & prescriptionsPro
Log what was sprayed, at what rate and in what conditions, and open variable-rate maps from the row.
Growers & team
Switch between organizations, browse growers and acreage, and see who is on the team — the same permissions as the web app.
Holds through dead spots
Fields you have already opened stay readable for an hour after the signal drops. Orchards are not known for coverage.
English and Spanish
The entire app, not just the menus — every crew member reads it in their own language.
Crop Support
Built for the crops you grow
Overview works across all major crops. Some advanced features are crop-specific as we expand support.
Don't see your crop? Let us know — we're actively expanding crop-specific models.
Your Data
Your field data belongs to you
You own your data
Your boundaries, imagery history, yields, and records are yours. We never sell them, and we only share what it takes to run the platform — see our Privacy Policy.
No lock-in
Prescription maps export in standard formats, and if you ever leave, your field data goes with you.
You control access
Five roles — from owner to scout — decide exactly who on your team sees and edits what.
FAQ
Common questions
From growers, agronomists, and operations leads.
Meet the Team
The people behind Overview
Overview is built by a small team that has spent years working alongside growers in California's Central Valley, not just in front of a screen.
Jesus leads engineering at Honeycomb Robotics and built Overview from the first satellite scene to the app growers open every morning. He studied Computer Science and Engineering at the University of California, Merced, with a minor in Management and Business Economics, and has spent his career putting remote sensing to work on real farms.
Before Honeycomb he was a software engineer in the research and development group at The Morning Star Company, the world's largest tomato processor, where he co-founded Gradient Crop Yield Solutions, Morning Star's precision-irrigation subsidiary. He led development of Gradient's full-stack platform, which turns weather, soil, crop and satellite data into irrigation recommendations, and helped grow its serviced acreage from about 6,000 to 26,000 acres in three years.
He has shared that work beyond the farm gate as a guest on Yara's Crop Nutrition Podcast on what aerial imagery does for farm efficiency, as co-author of Morning Star's case study on remote sensing at Gradient, and as mentor to a UC Merced senior capstone team that built an NDVI crop-health web app.
Experience
- Co-founder & CTO· Honeycomb Robotics2024 – present
Sets the technology vision and strategy and leads product development, from infrastructure and software to security. Created Overview, the satellite crop-monitoring platform.
- Co-founder & Lead Software Engineer· Gradient Crop Yield SolutionsMorning Star subsidiary
Grew a Morning Star R&D project into a precision-irrigation startup: led the full-stack platform, launched the website and marketing, and presented the roadmap to the company's owner.
- Software Engineer, R&D· The Morning Star Company2020 – 2024
Shipped the database, multi-crop support, automated data intake and technician alerts that let the team double its serviced acreage without adding engineers.
- B.S. Computer Science & Engineering· University of California, Merced2013 – 2018 · minor in Management and Business Economics
Member of the UC Merced Robotics Society. Later returned to mentor a senior capstone team on satellite crop-health imagery.
Contact Us
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