Smart Plant Protection Solutions

Pest forecasting, drone spraying, precise application, and AI identification, for greener protection and less pesticide used to better effect

Smart Plant Protection

Built on IoT, artificial intelligence, BeiDou positioning, and remote sensing, the solution watches crop pests and disease, applies pesticide only where it is needed, and supports greener control. Pests and disease hit about 6 billion mu-times of crops a year in China. Older practice is a walk through the field and a spray based on habit: the warning is late, the dose is high, and control is expensive. Pest lamps, spore traps, and weather stations feed the network. AI counts species and numbers from the images. A plant-protection drone with a variable nozzle sprays from a prescription map, and pesticide use can fall by more than 30%.

It covers field crops, cash crops, and protected agriculture. It forecasts how an outbreak will move, reminds the grower of the right window, and suggests a spray plan. It sits inside the smart agriculture platform and can read weather, soil, and irrigation, so monitoring, warning, control, and traceability are one chain. New farm operators and plant-protection service teams get more work done, and the control holds better.

Where the work breaks down

The Ministry of Agriculture and Rural Affairs puts annual grain loss from pests and disease at about 10–15% of output, and the economic loss above 100 billion yuan. Monitoring is late — a person can only walk so much ground, and the outbreak is often already under way when it is seen. Spraying is blunt — a uniform pass over the whole field doses healthy ground as well, and pesticide use efficiency is only about 36%, well below developed countries. People are scarce — rural labor is older, and plant-protection work is hard to staff and expensive. The record is thin — pest counts, weather, and what was sprayed are not kept in a way that supports a decision or a trace.

Policy and the standards

The National Agricultural Green Development Plan for the 14th Five-Year Plan sets a 2025 goal of continued decline in pesticide use and a steady rise in green-control coverage. The Action Plan for Reducing Pesticide Use and Raising Efficiency asks for precise application and unified control. GB/T 24689, Plant protection machinery — Sprayers, and NY/T 3213, Technical specification for plant-protection UAV operations, are the references for the equipment and the work. Local subsidies are shifting toward drone spraying and green control.

What the numbers show

On sites that run it, pesticide use falls 30–50%, and the chemical bill by more than 20%. The window from finding the pest to treating it shrinks from 3–5 days to within 24 hours. A drone covers 30–60 times the area a person can in a day. Control is more even on the target, and efficacy rises 15–25%. For a grower at scale, payback is about 2–3 years, in money and in the field.

Pest forecasting
Drone spraying
Precise application
AI identification
Farmland and a plant-protection drone

Core Capabilities

From the warning in the field to a spray that lands where it should

Pest monitoring and identification

A pest lamp traps, photographs, and uploads. A spore trap collects disease spores. AI counts species and numbers, and counts spores. Migratory pests can be watched, and the period of occurrence forecast, which is the basis for a control decision.

Drone spraying

The job is planned, the route is generated, and the aircraft avoids obstacles. Spray rate follows a prescription map. Track, area, and the amount applied are recorded and sent back, which is what supervision and subsidy checks ask for.

Precise application and prescription maps

A prescription map is drawn from where pests and disease actually are, and the rate varies with it. BeiDou high-precision positioning holds the aircraft on the line. Several airframes and several products can be managed, and the application record can be traced, so less chemical does more work.

Decisions and warnings

Trends are analyzed, and the right window is flagged. A spray plan follows the weather and the crop stage. Results are compared with earlier seasons. A plant-protection specialist can advise remotely, and a grower can look the record up.

Typical Use Cases

Field crops

Pest and disease monitoring, and drone spraying, for rice, wheat, and maize

Cash crops

Precise application and greener control for fruit, vegetables, and tea

Protected agriculture

Pests and disease in greenhouses, with small drones or sprayers

Plant-protection services

Spray teams and cooperatives: scheduling, job records, and subsidy checks

How to Start

01

Build in stages

Start with pest lamps and weather stations. Bring in drone spraying and prescription maps once the data is there, so the first spend is not the whole system.

02

Choose the equipment

Match the lamp and the drone payload to the crop and the size of the block. Cash-crop areas can add a spore trap. Protected agriculture needs smaller equipment.

03

Join the data

Connect weather, soil, and irrigation so a forecast can use more than one source, and the warning is more reliable.

04

How the service is sold

A cooperative or a spray team can offer equipment, the platform, and the work together, take on neighboring farms, and spread the cost of the machines.

Integration Points

  • Devices: Pest lamps, spore traps, weather stations, and plant-protection drones join the IoT platform over 4G, 5G, or NB-IoT, using MQTT, Modbus, and similar.
  • AI: Pest images and spore counts use deep-learning models, with inference shared between the edge and the cloud.
  • Position and GIS: BeiDou and GPS plan the route and record the track. GIS shows where pests and disease are, and draws the prescription map.
  • Joined data: Pest counts, weather, crop, and soil together support the forecast and the control decision.

Related Solutions

A greener plant-protection system

Our specialists will shape a plan that uses less pesticide and gets more from each spray