Scoutin organizes field observations spatially and links them.


Operators responsible for crop rows, trees, vines, pests, disease signs, weeds, damage, scouts, agronomists, observations, photos, mapped blocks, treatments, and follow-up teams cannot continuously inspect every operating condition or developing fault. Periodic checks leave gaps between readings, while isolated local indicators provide limited history and context. A late response can cause downtime, safety exposure, equipment damage, or incomplete compliance evidence. Teams need timely measurements, clear exceptions, and a defined operating response.
Mobile Crop Scouting Pest Observation and Agronomy Follow-Up combines connected field data with application software. The system captures observation type, severity, location, time, photo evidence, surveyed path, affected block or plant, recommended action, assignment, and follow-up status. Scoutin organizes field observations spatially and links them with the pest-management cycle, work instructions, responsible teams, and later outcomes. Prioritize agronomy review, issue treatment tasks, revisit affected locations, compare progression, verify response.
Teams configure the monitored assets, users, and operating rules. The system captures observation type, severity, location, time, photo evidence, surveyed path, affected block or plant, recommended action, assignment, and follow-up status. Installed sensors, machines, mobile tools, and the Fieldin platform exchange field records through the supported path; no universal transport is specified. Scoutin organizes field observations spatially and links them with the pest-management cycle, work instructions, responsible teams, and later outcomes. Prioritize agronomy review, issue treatment tasks, revisit affected locations, compare progression, verify response.
Vendor documentation: vendor website
Evidence level: L1 · Vendor-stated: how evidence levels work
The system captures observation type, severity, location, time, photo evidence, surveyed path, affected block or plant, recommended action, assignment, and follow-up status
Installed sensors, machines, mobile tools, and the Fieldin platform exchange field records through the supported path; no universal transport is specified
Scoutin organizes field observations spatially and links them with the pest-management cycle, work instructions, responsible teams, and later outcomes
Prioritize agronomy review, issue treatment tasks, revisit affected locations, compare progression, verify response
Used in orchards, vineyards, nut groves, berry fields, hop yards, and other high-value permanent-crop operations across distributed blocks, shifts, crews, tractors, sprayers, harvest equipment, irrigation work, and support fleets
Authorized users can review current status, history, and operating exceptions
Attributes fewer than 20% of comparable Agriculture listings share:
Ask the AI Solution Architect: compare this solution against alternatives, check connectivity for your region, and get integration guidance. Included with IoT Apps Enterprise.
Fit, availability or a detail on this page. Goes straight to Fieldin, no RFP needed.

The fleet module combines actual machine use.

FruitSpec-powered cameras count fruit on trees and vines, estimate size classes by row and block, and track development over time…

Aligns flow and machine activity.

Computer vision tracks visible welfare indicators and behavioral changes in farmed fish.

Maps animals, retains movement histories, evaluates geofence and environmental thresholds.

Site-specific calibrations and IrriMAX graphs preserve scientific depth context.
AfiFarm evaluates health, fertility, task, group.

Dashboards combine zone readings, weather history, crop observations, alerts.