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Drone Authority

Agriculture and land · Mission guide

Agricultural drones: scouting, crop maps, thermal work, and spraying

Agricultural drone work spans several different businesses. RGB scouting, multispectral analysis, thermal irrigation checks, stand counts, prescription maps, and chemical application have different sensors, buyers, evidence standards, and licenses. Treating them as one service is the fastest way to overbuy gear or cross a regulatory line.

Verified July 9, 2026. Educational, not legal advice. Confirm current requirements at faa.gov/uas before you fly.

DJI AGRAS T50 applying a fine spray over soybean rows
Commercial UAS · United StatesDJI AGRAS T50 applying a fine spray over soybean rows

Ramp-up

6-12 weeks for scouting; much longer for spraying

Entry cost

Low with RGB; high for calibrated sensors or spray operations

Baseline

  • Part 107 for paid capture
  • Agronomy partner or field ground truth
  • GIS and calibration discipline
  • Part 137 and state licensing before application
On this page

What the work is

A drone is a repeatable observation or application platform. RGB imagery shows visible field conditions. Multispectral sensors measure selected bands such as red edge and near infrared. Radiometric thermal sensors estimate surface temperature. Spray aircraft dispense material. None of those outputs explains a crop problem by itself; useful work connects aerial patterns to field inspection, crop knowledge, and a management decision.

The client question

What field decision must happen next: where to scout, how many plants emerged, where irrigation differs, what zone needs an agronomist, or where an approved treatment should be applied?

The most realistic beginner offer is repeatable RGB scouting or stand documentation for a grower, agronomist, seed dealer, or orchard manager. Multispectral indices require calibration and ground truth. Spraying is a separate aviation and pesticide-application business with Part 137, possible Section 44807 relief for aircraft at or above 55 pounds loaded, state credentials, label compliance, insurance, chemical handling, and records.

Agricultural drone flying above uniform green crop rows
Field observationRepeatable imagery helps a field team find patterns worth checking on the ground. It does not diagnose the cause by itself.
Large agricultural drone applying a visible spray over a field at sunrise
Aerial applicationDispensing is a separate aviation and pesticide operation, with its own aircraft, licensing, label, logistics, and record stack.

What clients buy

The output defines the job. Name the file, its acceptance test, who reviews it, and what it cannot prove before the aircraft launches.

Output 01

RGB field mosaic and issue map

A current visual field map with geotagged observations and polygons that direct a person to inspect specific areas.

Delivered as

GeoTIFF, PDF overview, GeoJSON/GPKG issue layer, source photos

Output 02

Stand count or plant inventory

A repeatable count with crop stage, row spacing, sample method, confidence, and excluded areas recorded. Validate aerial counts against field samples.

Delivered as

CSV, map layer, annotated imagery, methods note

Output 03

Multispectral zones

Calibrated band imagery and relative NDVI/NDRE patterns used to prioritize ground scouting. An index is not a diagnosis of nitrogen, disease, or yield.

Delivered as

Band GeoTIFFs, index raster, management zones, calibration record

Output 04

Thermal anomaly map

Radiometric source data and relative temperature patterns with time, weather, emissivity, solar conditions, and corroborating RGB observations.

Delivered as

Radiometric files, thermal mosaic, anomaly polygons, conditions report

Output 05

Prescription and as-applied records

A machine-compatible treatment plan owned by the qualified agronomic workflow, plus the actual rate, material, weather, operator, location, and time applied.

Delivered as

Vendor prescription file, SHP/ISOXML where supported, application log, PDF record

Choose one specialty

Choose a row before choosing gear. Each specialty has its own buyer, acceptance standard, vocabulary, safety system, and person who owns the final conclusion.

Buyer and output

Growers, agronomists, seed dealers, crop consultantsCurrent field mosaic, issue polygons, geotagged ground photos, and a scouting handoff.

What to learn

Crop stages, visible stress patterns, field access, repeat capture, GIS observations, and ground verification.

Conclusion owner

Document where to inspect. Do not diagnose disease, fertility, chemical need, or yield from color alone.

From scope to handoff

  1. Step 1 of 6

    Start with the agronomic decision

    Ask what action the grower or advisor will take. Choose RGB, multispectral, thermal, or application only after the decision, timing window, crop stage, and ground-truth plan are defined.

  2. Step 2 of 6

    Plan repeatable capture

    Map the field boundary and obstacles, confirm airspace and permission, use a suitable overlap and ground resolution, and keep solar time and calibration consistent for comparative spectral work.

  3. Step 3 of 6

    Calibrate and record conditions

    Use the sensor's reflectance panel or irradiance workflow when applicable. Record weather, sun, crop stage, camera settings, height, and anomalies that could distort comparison.

  4. Step 4 of 6

    Process patterns, not diagnoses

    Build mosaics or index layers, remove obvious artifacts, and classify zones. Treat color differences as leads for investigation until a field inspection or qualified advisor explains them.

  5. Step 5 of 6

    Ground-truth the map

    Walk high, medium, and low zones. Capture photos and notes. Compare aerial counts or anomalies with actual plants, pests, moisture, compaction, irrigation, or management history.

  6. Step 6 of 6

    Deliver the action layer

    Package only the fields and formats the grower, agronomist, or machine can use. State uncertainty, excluded areas, calibration method, and who owns the treatment decision.

Close view of a professional drone payload and imaging sensors
Choose the sensor from the decisionRGB, multispectral, radiometric thermal, and application systems answer different questions. Start with the field decision, not the payload catalog.

Equipment by capability

Buy from the accepted output backward. A more expensive sensor cannot rescue a vague scope, weak method, invalid conditions, or missing review authority.

Capability 01RGB first
A sharp RGB camera can support scouting, emergence documentation, storm damage, drainage patterns, orchard inventory, and field context. It is the right place to learn.
Capability 02Multispectral
Sensors such as the Mavic 3 Multispectral record selected bands plus irradiance information. The workflow needs calibration, comparable lighting, and field interpretation.
Capability 03Radiometric thermal
Use a radiometric sensor when temperatures matter. Wind, sun angle, emissivity, reflected temperature, water, and canopy structure can dominate what the image appears to say.
Capability 04Spray platform
Spray drones are aircraft, chemical systems, chargers, pumps, tanks, tender vehicles, PPE, containment, batteries, generators, spares, and records. Many cross the 55-pound loaded threshold.

Software by role

Flight planning, processing, GIS, asset analysis, client delivery, and job sourcing are different jobs. Confirm aircraft, controller, payload, operating-system, export, storage, and offline compatibility before paying for a subscription.

  • PIX4Dfields

    Role

    Rapid field mosaics, crop indices, zonation, and prescription workflows

    Use it when

    You need agriculture-specific analysis and export rather than general 3D reconstruction.

  • Sentera FieldAgent

    Role

    Field imagery, scouting, mosaics, and crop analytics

    Use it when

    A Sentera-centered sensor and agronomy workflow fits the operation.

  • Agremo

    Role

    Stand counts, crop health analysis, and prescription-oriented analytics

    Use it when

    You want a managed crop-analysis workflow and will validate its outputs.

  • DJI Terra

    Role

    DJI RGB, multispectral, and LiDAR processing

    Use it when

    Your capture stack is DJI Enterprise and the required output is supported.

  • QGIS

    Role

    Field boundaries, issue layers, zonation QA, joins, and deliverable packaging

    Use it when

    You need to inspect, edit, and export spatial data independent of the vendor platform.

Need the whole ecosystem? Open the drone work software guide.

How to learn the work

  1. Step 1 of 5

    Learn the crop calendar

    Shadow a grower, crop consultant, extension specialist, or seed agronomist. Know which questions matter at emergence, vegetative growth, flowering, irrigation, stress, and harvest.

  2. Step 2 of 5

    Master RGB scouting

    Create a repeatable field mosaic, mark anomalies, walk them, and compare what the image suggested with what was actually present.

  3. Step 3 of 5

    Add GIS and sampling

    Learn field boundaries, coordinate systems, geotagged observations, stratified sampling, CSV joins, and simple zone exports in QGIS.

  4. Step 4 of 5

    Introduce one calibrated sensor

    Repeat a field in a consistent solar window, retain calibration data, and compare spectral or thermal patterns against ground observations.

  5. Step 5 of 5

    Approach spraying as a separate company

    Read the FAA Part 137 process, contact the state pesticide agency, study labels, estimate tender and refill logistics, obtain insurance quotes, and secure likely acreage before buying the aircraft.

Scouting demand follows the crop calendar: emergence checks after planting, stress and irrigation flights mid-season, and stand documentation ahead of harvest. Our sister site Sprout Authority publishes a free planting calendar that shows when crops go in the ground by region. A pilot who knows the local planting and harvest windows can pitch repeat scouting work at the moments a grower actually needs it.

A starter project worth showing

Field assignment

Build a crop-scouting handoff, not an NDVI sales pitch

With permission, map one field using RGB, identify five visual anomalies, walk each location, and deliver a map that helps an agronomist decide what to inspect next.

Acceptance checklist

  • Field boundary and excluded areas are explicit
  • Capture date, crop stage, height, GSD, overlap, and conditions recorded
  • Every aerial anomaly has a ground photo and note
  • No disease, fertility, or yield diagnosis is made from color alone
  • GeoTIFF plus issue layer opens in QGIS

Where the pilot role stops

Do not sell past your competence

  • Limit 01Part 107 governs the flight. It does not authorize pesticide application, agronomic advice, or every aircraft weight.
  • Limit 02Part 137 and state pesticide, aerial-applicator, business, and aircraft rules can all apply to spraying.
  • Limit 03The pesticide label is enforceable. Crop, site, method, rate, droplet, buffer, weather, and records must match it.
  • Limit 04NDVI and NDRE show relative spectral patterns. Ground truth and agronomic context are needed to explain the cause.

Primary sources

These links are the starting point for current rules, methods, and professional boundaries. Vendor documentation explains a product; it does not replace the FAA, a regulator, a project specification, or a qualified reviewer.

Next steps

Open the guide or tool that matches the next decision.

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