Smart Agriculture & IoT

Agricultural Drones & Crop Analysis

Aerial surveys cover an entire farm in a single flight, and AI-driven image processing turns every mission into clear maps of crop emergence, vigour, stress, disease and expected yield.

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Seeing every field from above

From sowing to harvest, drones fitted with visible-light, hyperspectral, multispectral, thermal infrared or LiDAR sensors photograph fields at regular intervals, and an image processing system built on large AI models interprets each data set. The results feed practical decisions: emergence maps show where replanting is needed, growth maps drive variable-rate fertilization, lodging maps quantify storm damage, spike counts forecast yield, and disease monitoring grades how severe an outbreak is. A single platform plans flight routes, runs missions in real time and displays the results. For farms, agricultural companies, cooperatives, insurers, research stations and government agencies in Saudi Arabia, drone analysis is a fast and objective way to manage large and remote areas. EnmaTech supplies the systems, trains operators and supports projects locally.

Drone Systems & Analysis

Agricultural UAV Patrol & Analysis System

A complete patrol kit that pairs an industrial drone and a visible-light or hyperspectral camera with image processing and large-model analysis, following the crop through every growth stage.

CamerasVisible light / hyperspectral
PlatformImage processing + management platform
CropsRice, wheat, maize and more
OutputsEmergence, growth, lodging, yield, disease

Features & full specifications

Key features

Kit: industry-grade drone, visible-light or hyperspectral camera, image processing system and smart management platform
Seedling emergence analysis to guide replanting
Crop growth analysis to guide variable-rate fertilization
Lodging analysis to assess disaster losses
Spike (ear) counting and yield estimation
Pest and disease occurrence monitoring
Growth stage, malignant weed and male-removal (detasseling) detection

Available configurations

Visible-light patrol system
Hyperspectral patrol system

Technical specifications

Cameras	Visible light / hyperspectral
Platform	Image processing + management platform
Crops	Rice, wheat, maize and more
Outputs	Emergence, growth, lodging, yield, disease

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Multi-Sensor Survey Drone

A survey drone carrying LiDAR, visible-light, multispectral and thermal infrared sensors to collect detailed spatial and spectral data across the field.

SensorsLiDAR, visible, multispectral, thermal IR
DataSpatial and spectral maps
UseLarge fields and farms

Features & full specifications

Key features

LiDAR for terrain and canopy structure
Visible-light imagery for counting and inspection
Multispectral imagery for vigour and NDVI maps
Thermal infrared imagery for water stress detection

Technical specifications

Sensors	LiDAR, visible, multispectral, thermal IR
Data	Spatial and spectral maps
Use	Large fields and farms

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Drone Remote-Sensing Analysis Platform

One control platform for planning flight routes, operating drones in real time and viewing the images, data layers and analysis results they produce.

FunctionsRoute planning, operation, visualisation
LayersVisible, multispectral, thermal, LiDAR
OutputMaps and reports

Features & full specifications

Key features

Flight route planning over each field
Real-time drone operation and status
Visualisation of captured images and data layers
Analysis results and reports per field and season

Technical specifications

Functions	Route planning, operation, visualisation
Layers	Visible, multispectral, thermal, LiDAR
Output	Maps and reports

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Crop Analysis Reports

Sample outputs the image processing system returns after each flight, ranging from spike counts and emergence rates to disease severity proportions.

Emergence rate (sample)83.40%
Average NDVI (sample)0.82
Lodging percentage (sample)8.90%
Health percentage (sample)91.61%

Features & full specifications

Key features

Yield estimation: spikes per area, identified spikes and estimated production
Seedling analysis: identified seedlings, plants per area and emergence rate, with replanting alerts
Growth analysis: average NDVI with growth rating
Lodging identification: lodging area, percentage and economic loss
Male removal detection: number and position of male spikes
Disease identification: health percentage and mild, moderate and severe case proportions

Technical specifications

Emergence rate (sample)	83.40%
Average NDVI (sample)	0.82
Lodging percentage (sample)	8.90%
Health percentage (sample)	91.61%

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Drone Analysis Services

Eight standard analyses generated from multi-sensor flights, each supplied as a map layer with a written summary.

Analyses8 standard map products
DeliveryMap layers and summaries

Features & full specifications

Key features

Thermal infrared collection
Seedling analysis
Disease identification
Lodging identification
Yield estimation
Disease grade
Growth analysis
Severe water shortage detection

Technical specifications

Analyses	8 standard map products
Delivery	Map layers and summaries

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Drone AI Models

AI models that convert drone imagery into forecasts and treatment prescriptions tailored to each field.

ModelsYield, disease, growth, phenotype, terrain, water, fertilization
OutputVariable-rate prescriptions and forecasts

Features & full specifications

Key features

Yield prediction
Pest and disease analysis
Crop growth monitoring
Intelligent phenotype recognition
Terrain analysis
Field water requirement
Field fertilization prescription

Technical specifications

Models	Yield, disease, growth, phenotype, terrain, water, fertilization
Output	Variable-rate prescriptions and forecasts

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Higher yield and better quality

Growth and NDVI maps highlight weak zones early in the season, so fertilizer and crop care can be adjusted field by field before losses build up.

Early warning and loss assessment

Maps of disease, lodging and water shortage expose problems quickly and record the affected area, supporting management decisions and insurance claims.

Lower pesticide and input use

Variable-rate prescriptions place fertilizer, water and crop protection products only where the analysis shows a need, saving both water and chemicals.

Harvest and market planning

Spike counts and pre-harvest yield estimates give early figures for logistics, storage and sales planning.

Frequently Asked Questions

Which crops can drone analysis cover?

The analysis models are well established for cereals such as wheat, rice and maize and can be applied to many other field crops. EnmaTech confirms which models are available for your crops while planning the project.

What does each flight deliver?

That depends on the sensor and model used. Typical outputs include seedling counts and emergence rate, average NDVI with a growth rating, lodging area and percentage, male-spike detection, the share of healthy plants with disease severity proportions, and spike counts with estimated production.

Do we need our own drone pilots?

Not necessarily. Flight routes are planned on the platform and missions are largely automated. EnmaTech can train your team in Saudi Arabia or include flight services in the project scope.

Bring aerial crop analysis to your farm

Share your crops and the area you manage, and EnmaTech will propose the right drone, sensor set and analysis package for your operation.

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