CONNECTED TECHNOLOGY. CLEARLY EXPLAINED.
Agriculture & Environment
Plan soil, water, weather and environmental sensing around representative placement, maintenance and field decisions.
Field data needs context. A measurement describes a location and time; its relevance depends on placement, calibration, weather, crop or site conditions and maintenance.
Choose the field question
Soil and irrigation
Distinguish zones and depths before using one sensor to represent a field.
Weather
Record exposure, mounting and interruptions alongside the readings.
Remote environments
Plan battery replacement, cleaning and access during the season.
Explore land, water and field operations
Soil and crop sensing
Define the measurement, soil zone, depth and crop context before interpreting a value. A sensor location or image represents a particular observation; extending it to a whole field requires evidence.
Soil moisture sensors · Soil temperature sensors · Soil nutrient sensors · Crop imaging · Plant stress sensing · Crop disease monitoring.
Irrigation and water use
Connect soil and weather observations with the existing irrigation record and an appropriate local agronomic plan. Separate monitoring from automatic pump or valve control, including operating responsibility and manual recovery.
Irrigation controllers · Smart valves · Pump monitoring · Water flow sensing · Fertigation systems · Water scheduling tools.
Livestock and aquaculture
Define the animal, herd or water-system question and the intended observation. Review placement, welfare, maintenance and qualified interpretation rather than treating a connected alert as a diagnosis or treatment decision.
Livestock tags · Herd tracking · Animal health sensors · Milking telemetry · Aquaculture oxygen sensors · Aquaculture feeders.
Weather and field networks
Record sensor exposure, location, power, communication and interruptions. Compare the required observation and delivery timing with actual seasonal access and support, rather than inferring field coverage from a radio specification.
Weather stations · Rain gauges · Solar-powered sensor nodes · Field gateways · Satellite field connectivity · Farm network planning.
Protected cultivation
Map each zone and measured variable to a growing-system task. Keep sensor data, agronomic decisions and any automatic climate or dosing control within their respective evidence and operating responsibilities.
Greenhouse sensors · Greenhouse climate control · Hydroponics controllers · Vertical farm systems · Grow lights · Nutrient monitoring.
Farm machines and drones
Start with the survey, equipment or field task and its permitted operating process. Check exact payload, location accuracy and data interpretation; an aerial image or connected machine feature does not establish a complete agronomic recommendation.
Precision agriculture systems · Tractor telemetry · Spraying drones · Survey drones · Autonomous farm machines · Yield mapping.
Environmental monitoring
Define whether the task is an indicative observation, research measurement or a regulated reporting requirement. Preserve method, calibration, location and sampling context; a general connected sensor is not automatically a regulatory instrument.
Air pollution sensors · Water quality probes · Noise sensors · Radiation monitors · Biodiversity monitoring · Wildfire detection · Flood monitoring.
Conservation and resource management
Describe the habitat, resource or intervention being observed and how results will be checked. Include field access, battery and device recovery, data stewardship and the basis of any environmental benefit claim.
Forest telemetry · Wildlife trackers · Coastal monitoring · Remote habitat sensors · Carbon measurement tools · Environmental data platforms.
A practical example
A proposed irrigation observation project should pair sensor readings with field notes, rainfall and the existing irrigation log. Begin with observation and review before considering automatic control; one position may not represent the whole plot.
Questions to resolve
- Which zone or area does each measurement represent?
- How will drift, damage and missing readings be noticed?
- Who can maintain the installation when access is difficult?
Use the evidence
The category map describes technologies and product types. It does not establish that a particular model is available, tested or compatible. Check the exact model, region, documentation and support arrangements before buying.
Work through the connected-technology buying checklist
Primary sources and local context
University of Minnesota Extension: soil-moisture sensing supplies measurement and placement context in a US agricultural setting. Its examples are not a prescribed schedule for Indian crops or soils. FAO: economics of digital agricultural automation, 2022 supplies adoption context. Assess local skills, maintenance, connectivity and operating evidence for the actual farm. This category makes no verified yield, water-saving, treatment or environmental-credit claim.
Evidence: Category guide. Reviewed 2026-10-18. By Admin.
Field decisions, water and device lifetime
RELATED READING
Agriculture IoT: sensing, irrigation and field maintenance
Connect field sensing, irrigation records and seasonal maintenance.
RELATED READING
Smart water management: measurements that support a response
Match water measurements with a defined review and operating response.
RELATED READING
Green IoT: include energy, maintenance and device lifetime
Include energy, maintenance and device lifetime in environmental claims.