GPS Fields Area Measure Map vs AWN CropAI

GPS Fields Area Measure lets you accurately calculate distance, perimeter and area — even without internet. Mark any point with notes, photos or custom data. Ideal for field scouting, equipment tracking, land inspection or issue logging. Designed for: ------------- • Farmers & agronomists (field mapping, crop scouting, fertilizer & spray planning, issue logging) • Land surveyors & construction (fencing, irrigation layout) • Real estate & property teams (map parcels and store notes, photos & site info) Key Features: ------------- • One-tap GPS walking/driving measurement • Precise manual editing with point markers • Add notes, photos & custom objects • Fully offline — works anywhere • Save, group & edit projects • Export to KML, KMZ or Shapefile • Add custom map layers — drone imagery, raster maps or any WMS service • Elevation profiles & built-in compass What our users say: ------------------- “Best measuring app I’ve ever used. Replaced my expensive handheld GPS.” — John, USA “Perfect for remote areas with no signal.” — Maria, UK “Great for property inspections. All my notes, photos and boundaries are stored in one app — no more messy folders.” — Mark, Australia 4.6 stars from 11K+ reviews • Used in 150+ countries • Regular feature updates Download free. Unlock Premium for advanced tools and cloud storage. • Privacy policy: https://privacy.farmis.com/ • Terms of Use: https://privacy.farmis.com/

AWN CropAI is a tool designed to help growers assess fruit surface temperature, monitor canopy temperature and stress, evaluate potential sunburn risk, and analyze fruit color using thermal IR cameras. Currently, the app supports apples and grapes. Key Features: 1. Fruit Surface Temperature (FST) Forecast: Receive accurate weather guided FST forecasts based on user location data. 2. Thermal IR-RGB Camera Integration: Seamlessly connect with wireless and USB thermal cameras (e.g., FLIR) to capture images. 3. FST Calculation, Canopy Stress Monitoring, and Sunburn Risk Assessment: Automatically detect supported fruits and canopy regions in captured images to calculate FST, monitor canopy stress, and assess sunburn risk. 4. Fruit Color Analysis: Analyze the proportions of red, green, and yellow colors in the detected fruits from the captured images.