Environmental Monitoring & Control
Weather stations, field and greenhouse sensors, a central data platform and AI models for early warning and automated control.
View equipmentEngineering lab equipment | VR · AR · XR · 360° | Digital twins — Jordan & GCC
Biodiversity, Sustainability & Biosecurity Solutions
Connected hardware, software and AI models that monitor crops, automate irrigation and give early warning of weather, pests and disease across the whole growing cycle.
Weather stations, field and greenhouse sensors, a central data platform and AI models for early warning and automated control.
View equipmentAll-in-one water and fertilizer machine, head-end components and a management platform for precise, remote irrigation and fertigation.
View equipmentRemote pest forecasting lamps with automatic insect recognition, pheromone and networked traps, a monitoring platform and AI outbreak prediction.
View equipmentVisible-light and multispectral cameras, a crop and labour monitoring platform and vision AI for growth stages, intrusions and activities.
View equipmentUAV patrols with visible, hyperspectral, multispectral, thermal and LiDAR sensors and AI analysis of emergence, growth, lodging, disease and yield.
View equipmentAR smart glasses with an AI assistant that show field data, answer questions and guide work hands-free, like a virtual agronomist.
View equipmentQuadruped field robots with cameras and sensors, a robot control platform and AI for monitoring, data collection and field tasks.
View equipmentDigital management from pre-planting to post-harvest: planting templates, farm inputs, yield prediction, QR traceability, inventory and sales.
View equipmentReady configurations for open-field farms and greenhouses, a smart breeding platform and results from real smart farm projects.
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Environmental Monitoring & ControlView details
Irrigation & FertigationView details
Pest & Disease ForecastingView details
Camera Crop MonitoringView details
Agricultural DronesView details
AR Glasses for FarmingView details
Agricultural RobotsView details
Farm Operations ManagementView details
Standard Solutions & Case StudiesView detailsSmart agriculture links what happens in the field to the people who manage it. Each solution module combines four layers: hardware such as weather stations, sensors, traps, cameras, drones and robots; a software platform that gathers and visualises the data; AI models that forecast growth, water demand, pests and yield; and functional modules that turn insight into action, from automatic irrigation to targeted spraying. Ministries of agriculture, research centres, seed and breeding stations, large farms, greenhouse operators and agricultural investment companies use these systems to raise yield and quality, save water and fertilizer, reduce pesticide use and lower labour costs. ASFAN supplies, installs, integrates and supports complete smart farming systems and helps choose the modules that fit each crop and site.
ASFAN supplies, installs and supports smart agriculture and IoT systems for farms, greenhouses, research stations and agricultural authorities across Saudi Arabia.
Field weather data and forecasting models warn of frost, heat, drought and storms in time to protect crops, irrigate ahead of heat waves or cover sensitive plants.
Fertigation driven by soil moisture and crop demand, plus pest forecasting that targets spraying, cut the inputs used per hectare without sacrificing yield.
Growth models, drone and camera analysis show which zones need attention, so crops are managed field by field instead of with one rule for the whole farm.
Automated control, remote operation, robots and digital records reduce routine field visits and paperwork, letting a small team manage large areas.
Tell us your crops, area and goals. ASFAN will recommend the right combination of modules and prepare a proposal.
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8programs Interactive 3D digital twins for engineering and science education: renewable energy, Arab power stations, fire protection, robotics, BIM, human anatomy and CNC machining. Arabic & English, fully offline.
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