Plant Protection and Precision Spraying
In China, crop pests and diseases affect about 6 billion mu-times a year. Pesticide use ranks among the world’s highest, yet the utilization rate is only about 40%. Extra spray leaves residue and environmental pressure. Smart plant protection connects pest-forecasting lamps, spore traps, weather stations, plant-protection drones, and variable-rate sprayers so teams can warn early, spray to the plot, and dispatch aerial work. It is a main technical path for using less pesticide in greener farming. The Regulations on the Administration of Pesticides push use records and traceability, and IoT is how that data is collected.
Market Size and Growth
More than 200,000 plant-protection drones are in service, and aerial spraying covers more than 1 billion mu-times a year. Pest-forecasting lamps and spore traps are now common in agricultural counties. Spending on variable-rate application and precision agriculture keeps rising. Plant-protection IoT devices are growing about 25% a year, and fields still need reliable links. AI on a pest-forecasting lamp can identify more than 200 species. A spore trap typically samples at 16.5 L/min. A plant-protection drone covers about 50-80 mu per hour. Variable-rate spraying cuts pesticide use by about 20%-40%.
Policy, Rules, and Technical Standards
The Regulations on the Administration of Pesticides set how pesticides are used and recorded. The Action Plan for Chemical Pesticide Reduction by 2025 pushes lower volume and better effect. Plant-protection drones must meet Civil Aviation Administration of China rules. Pest surveys and spore trapping follow industry technical specifications. Use records have to support traceability and supervision.
Core Pain Points
Monitoring still depends on people, and the warning comes late
Traditional pest surveys take a long cycle, so alerts lag the outbreak. An IoT pest-forecasting lamp traps insects, photographs them, identifies the species, and counts them, then uploads the result as it happens. A spore trap watches disease spores and, with weather data, estimates when disease will break out. AI recognition makes the species and count figures more accurate.
Blanket spraying wastes chemical and leaves residue
Uniform spraying cannot change the dose when pest pressure differs across a field. Variable-rate sprayers and plant-protection drones follow a prescription map and set the dose by pest density on each plot, cutting pesticide use by 20%-30% while holding the control result. IoT keeps the drones and sprayers on one dispatch network.
Aerial-spraying fleets are scattered and hard to dispatch
Plant-protection drones and aerial-spraying crews sit in many places, and jobs still go out by hand. IoT reports each drone’s position, status, and work record so the platform can dispatch remotely and watch progress. That is what lets aerial spraying scale as a standard service.
Industry Chain and Cases
Industry chain: Upstream are pest lamps, spore traps, plant-protection drones, and variable-rate sprayers. Midstream are plant-protection IoT platforms and aerial-spraying dispatch systems. Downstream are county plant-protection stations, aerial-spraying crews, and large growers. One agricultural county deployed 80 pest-forecasting lamps and 20 spore traps. Warning lead time moved from 5 days to 14 days, and the share of treatments applied in the right window rose to 88%. One aerial-spraying platform connected 5,000 drones, raised dispatch efficiency by 50%, tied job data to insurance loss assessment, and shortened the claims cycle by 60%.
IoT Use Cases
Pest and disease monitoring
Pest-forecasting lamps and spore traps send catch counts, images, and spore concentration over 4G or NB-IoT. AI names the pest and counts it, then weather data is used to forecast the outbreak. Plant-protection stations use that feed to issue warnings and guide treatment.
Plant-protection drones and variable-rate spraying
A plant-protection drone on 4G reports location, battery, area covered, and spray settings. The platform watches the job and assigns the next one. A variable-rate sprayer changes the rate from the prescription map and records each application so pesticide use can be traced.
Aerial-spraying dispatch and job control
Crews, drones, and jobs sit on one IoT platform. Progress is visible as work happens, and exceptions raise an alert. Job data is shared with growers and insurers for acceptance and claims assessment.
Terms
Pest-forecasting lamp: a monitor that traps pests and identifies them automatically. Spore trapping: collecting disease spores from the air to forecast an outbreak. Prescription map: an electronic map that marks the pesticide rate for each plot. Aerial spraying: plant-protection flights by drone.
Where This Is Heading
AI pest identification is getting more accurate. Pesticide-reduction policy is pushing precise spraying into wider use. As aerial-spraying services scale, equipment has to go online and dispatch platforms have to be built. SimtoLink provides 4G IoT connectivity for smart plant protection, keeping pest lamps, drones, and sprayers online in fields and other outdoor sites.
Summary
Smart plant protection uses IoT for pest and disease monitoring, precise spraying, and aerial-spraying dispatch, which supports lower pesticide use and greener farming. SimtoLink keeps plant-protection devices on a stable network and helps the work go digital.