Apps Like AgSAT for iPhone and iPad
AgSAT screenshots
Ranked alternatives
Showing 361–380 of 1,000 ranked alternatives.
NSTracker
Nutrien AG Solutions, Inc.
Submit samples for lab analysis
The app allows field samplers to submit soil, tissue, and water samples to the NutriScription platform. It supports adding growers, farms, and fields, and includes mapping of geospatial boundaries.
Passport Photo Maker - 2x2
PIXOO LLC
Edit and upload photos anytime
Create, edit, and upload photos with automatic cropping, background change, and lighting correction. Save images or send to print directly. Import photos from camera or gallery. Support multiple file formats.
CDBFlite
Sergey Chehuta
View and edit DBF files easily.
The app allows users to view and edit DBF files. Users can search, filter, and reorder data, and export information to CSV, TXT, XLS, XLSX, and JSON formats.
Cropwise Financials
Syngenta Digital LTDA
Track farm inputs and tasks
Track farm inputs by organization, farm, field, or crop zone. Record and manage application tasks, recommendations, and yield data. Capture and convert advisor recommendations. Monitor weather and commodity prices.
MaintenancePlanner
Ameresco Asset Sustainability Group LLC
Track work orders and manage assets
Manage service requests and maintenance tasks with real-time updates. Dispatch work orders to staff or contractors. Field staff can pull tasks based on location or skills.
Crop Water
University of Nebraska - Lincoln
Estimate soil water status easily now.
The app estimates soil water status using Watermark sensor readings from 1, 2, and 3 feet. It calculates water usage and availability for Nebraska soils, and users can view historical sensor data and graphs.
Bushel
Bushel Farm, Inc.
Track manage understand farm profitability.
The app helps farmers track, manage, and understand farm profitability. It replaces scattered notes and spreadsheets with organized field maps, rainfall data, satellite imagery, and more, turning records into insights.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.