Optical color and structure sensing verifies field edges in real time, keeping autonomous farm machines out of roads and other non-permitted zones.
Soil moisture data corrects LiDAR reflectivity errors, enabling more accurate field residue coverage measurement and tool adjustment.
Non-contact GPR or LIN sensing detects subsurface air pockets during planting, enabling force adjustment for better seed-to-soil contact.
Drag wire force and pressure sensing verifies trench closure during planting and enables on-the-go planter adjustment for seed-to-soil contact.
Real-time seed and plant sensing guides fluid or solid placement in and beside the furrow to improve application accuracy and reduce waste.
By placing the sensor inside the press wheel cavity, seed position and soil conditions can be measured after deposition while shielding it from debris.
Sensors locate seeds in furrows and plants in fields, enabling valves or gates to target fluid and solid applications while reducing material waste.
Sensors and image capture combine during planting to track soil moisture, temperature, conductivity, and reflectivity for consistent seed depth.
Embedded electrodes use soil-moisture data to induce an electric field on a tillage shank, reducing adhesional forces and wear.
Seed and plant sensors guide segmented applicators to improve placement precision and nutrient delivery.
Electromagnetic sensor nested in a rotating tool tooth cavity detects reflected signals to determine soil composition.
Replacing slow mechanical tillage, the system uses compressed air injection and laser vibrometry to diagnose soil compaction and root distribution in real time.
Multimodal sensors map soil compaction to replace invasive probing, enabling targeted tillage that reduces fuel consumption and improves crop productivity.
An agricultural vehicle uses an infrared sensor and controller to map soil nutrients, replacing expensive lab sampling with optical detection.
Controller activates soil sensors only when ground engaging tools reach proper depth, preventing inaccurate data from exposed sensors.
Ground-penetrating radar and capacitance sensors resolve measurement accuracy issues caused by varying soil types during tillage operations.
A soil measurement system uses wireless signal time of flight to estimate permittivity and moisture levels.