| 1 |
Crop Irrigation |
Automate irrigation according to soil moisture and crop demand instead of using a fixed schedule. |
Soil-moisture sensors, weather data, flow meters, automated valves, and a farm irrigation controller. |
Vegetables, orchards, vineyards, greenhouse crops, and drip-irrigated field crops. |
Sensor accuracy, calibration procedure, valve compatibility, filtration requirements, operating pressure, and local replacement-part availability. |
Water volume applied per hectare, irrigation runtime, soil-moisture range, and crop yield per unit of water. |
Use a small pilot zone first. Confirm that the system can operate during weak internet connectivity through local control or offline scheduling. |
| 2 |
Protected Cultivation |
Control greenhouse climate automatically while retaining manual override for crop safety. |
Temperature and humidity sensors, ventilation controls, shade screens, heating controls, carbon-dioxide monitoring, and a climate computer. |
Tomatoes, cucumbers, peppers, leafy greens, flowers, and seedling nurseries. |
Operating temperature range, response time, sensor placement, actuator capacity, alarm functions, and compatibility with local power supply. |
Temperature and relative-humidity stability, ventilation hours, heating energy use, and marketable yield. |
Specify fail-safe positions for vents and screens. Include high-temperature alarms because a control failure can damage crops rapidly. |
| 3 |
Precision Crop Monitoring |
Use field scouting data to identify crop stress before applying fertilizer or crop-protection products across the whole field. |
Satellite imagery, unmanned aerial surveys where legally permitted, GPS field mapping, scouting applications, and geographic information systems. |
Cereals, cotton, oilseeds, orchards, vineyards, and large vegetable fields. |
Image resolution, revisit frequency, cloud coverage, positioning accuracy, data export format, and agronomist review capability. |
Scouting time per hectare, mapped problem areas, treatment area, input use per hectare, and harvest variability. |
Remote sensing indicates possible stress but does not identify its cause by itself. Pair imagery with field inspection and soil or tissue testing. |
| 4 |
Variable-Rate Input Application |
Apply seed, fertilizer, lime, or crop-protection products at different rates when reliable field data supports the prescription. |
GPS guidance, electronic rate controllers, prescription maps, section control, and compatible spreaders or sprayers. |
Broad-acre crops, orchards, vineyards, and fields with measurable soil or yield variability. |
Application-rate accuracy, controller response time, nozzle or spreader compatibility, GPS correction service, and data-file interoperability. |
Application accuracy, untreated overlap, input quantity per hectare, operating speed, and yield consistency. |
Verify local regulations for chemical application and data use. Conduct calibration tests with clean water or non-hazardous material before field operation. |
| 5 |
Autonomous Field Guidance |
Automate steering assistance to reduce overlap, operator fatigue, and crop damage during repetitive field passes. |
Satellite positioning, steering-assist systems, machine guidance displays, correction signals, and implement sensors. |
Tractors, harvesters, planters, cultivators, and sprayers working on large or regularly shaped fields. |
Pass-to-pass accuracy, signal availability, terrain performance, integration with existing machinery, operator training, and manual takeover controls. |
Pass overlap, fuel use per hectare, effective field capacity, operator hours, and crop damage from wheel traffic. |
Accuracy requirements depend on the task. Planting and mechanical weeding generally require more precise guidance than broad fertilizer spreading. |
| 6 |
Livestock Feeding |
Automate feed delivery and monitor consumption while keeping a practical manual feeding method available. |
Programmable feed mixers, conveyor or robotic feeders, weighing systems, feed-bunk sensors, and ration-management software. |
Dairy cattle, beef cattle, pigs, poultry, and other animals receiving formulated rations. |
Batch weighing accuracy, cleaning access, feed ingredient compatibility, dosing repeatability, battery or power requirements, and animal-safe design. |
Feed offered per animal, feed refusals, ration accuracy, labor hours, average daily gain, or milk yield. |
Automation cannot replace professional ration formulation. Check that the equipment handles local feed moisture, particle size, and storage conditions. |
| 7 |
Livestock Health Monitoring |
Use automated alerts to prioritize animals needing inspection rather than treating sensor alerts as a diagnosis. |
Wearable activity sensors, rumination or feeding monitors, camera-based observation, electronic identification, and alert dashboards. |
Dairy cattle, beef cattle, sheep, goats, pigs, and poultry houses with suitable monitoring infrastructure. |
Animal comfort, attachment durability, alert sensitivity, false-alert rate, data ownership, battery life, and veterinary workflow integration. |
Time to identify abnormal behavior, inspection workload, treatment records, morbidity rate, and recovery time. |
Establish an alert-response protocol with a veterinarian or trained livestock professional. Test the system under local housing, dust, heat, and humidity conditions. |
| 8 |
Poultry and Barn Environment |
Automate ventilation and environmental alarms to maintain stable conditions without eliminating human checks. |
Temperature, humidity, ammonia, carbon-dioxide, and pressure sensors connected to ventilation, cooling, heating, and alarm systems. |
Poultry houses, pig barns, dairy facilities, calf housing, and other enclosed livestock buildings. |
Sensor calibration, alarm redundancy, emergency ventilation, generator compatibility, wash-down protection, and local service response. |
Temperature variation, ventilation rate, gas concentration, mortality rate, feed conversion, and energy use. |
Install independent high-temperature and power-failure alarms. Define emergency procedures for network loss, controller failure, and extreme weather. |
| 9 |
Equipment Maintenance |
Replace reactive repairs with maintenance based on operating hours, fault codes, and condition indicators. |
Machine telematics, engine-hour tracking, vibration or temperature sensors, digital maintenance logs, and diagnostic tools. |
Tractors, combines, pumps, irrigation equipment, milking systems, feed mixers, and refrigeration units. |
Protocol compatibility, data export, sensor durability, alert quality, cybersecurity controls, spare-parts access, and technician training. |
Unplanned downtime, maintenance cost per operating hour, repair response time, fuel consumption, and equipment availability. |
Request clear ownership and export rights for machine data. Keep paper or offline maintenance records where connectivity is unreliable. |
| 10 |
Post-Harvest Handling |
Automate grading, weighing, cooling, and storage monitoring to protect quality after harvest. |
Electronic scales, optical or camera grading, conveyor controls, temperature and humidity sensors, automated ventilation, and traceability records. |
Fruits, vegetables, grains, seeds, potatoes, onions, and other commodities requiring controlled storage or sorting. |
Throughput capacity, product damage rate, grade accuracy, cleaning requirements, cold-chain compatibility, calibration, and food-safety documentation. |
Throughput per hour, weight accuracy, storage temperature range, shrinkage, rejected product, and shelf-life performance. |
Match capacity to the actual harvest window, not only to peak theoretical throughput. Confirm that materials and cleaning procedures suit food-contact use. |
