Detection Types
🌱🌱🌱 Basic Counts
Accurate counts in row-crops like corn or soybean in early growth-stages, ideal for when individual size or health is not required. For example, after seeds germinate, a farmer can use Basic Plant Count to verify stand establishment – checking if the number of emerged seedlings matches the expected planting rate.
The practical benefit is early insight into crop establishment: agronomists or consultants can spot areas with poor emergence or gaps and recommend replanting or other interventions to improve yield potential.
💡Outputs from Basic Count Detection
- Simple plant count & densities
- Plant density maps
- Row & Gap Analysis
- PDF Report Summary
🌳🌳 Counts with Plant-level Data
Accurate counts with plant-level data like size and health in speciality crops and trees such as vegetables, fruits where knowing the dimensions and health of individual plants is required. This detailed count allows for analysis at the single-plant scale – for instance, detecting missing plants in specific rows or evaluating plant spacing uniformity across the field.
The benefit is more granular crop management: farmers and agronomists can make precise decisions (like targeted fertilization or gap filling) based on per-plant data, ultimately leading to better resource use and higher productivity.
💡 Outputs from Plant-level Data Detection
- Plant counts & densities
- Plant density maps
- Row & Gap Analysis
- Individual Plant Health
- Individual Plant Size Metrics
- PDF Report Summary
🪴 Weed Detection
Detect patches of weeds for spot spraying applications.
This detection produces a weed map and highlights weed-infested spots so farmers know exactly where intervention is needed. Practical benefits are efficient, targeted weed control – agronomists and agricultural consultants can use these insights to reduce herbicide usage and costs, focus attention on trouble areas, and protect crop yield by addressing weed competition early
💡Outputs from Weed Detection
- Prescription Shapefiles
- PDF Report Summary
