Apps Like Crop Management Network for iPhone and iPad
Crop Management Network screenshots
Ranked alternatives
Showing 61–80 of 1,000 ranked alternatives.


FMH Mobile
Farmers Mutual Hail Insurance Company of Iowa
View market data and weather alerts
View real-time commodity market data and cash bid prices for local grain elevators. Check crop insurance dates and weather conditions. Access policy and claim details through a secure login. Stay updated with agriculture news and market insights.



Feralloy inSight
Feralloy Corporation
Access account info anytime
Access key performance indicators and real-time order status anytime. View open and closed orders, bills of lading, invoices, and material certificates. Create push notifications for updates. Scan documents for quick access to account information.






Aurora Cooperative
Aurora Cooperative Elevator Company
Receive grain tickets and moisture data
Track grain tickets with real-time moisture readings and discount alerts. View market data, contracts, and finance requests. E-sign documents, manage invoices, and access statements and reports. Monitor balances and location directories.

Weed ID
Bayer Aktiengesellschaft
Identify and map farm weeds easily.
The app helps users identify weeds in Canada by selecting characteristics or searching a database. It also maps weed pressures using GPS coordinates to track trends year over year on a farm.




Tempi: All-in-One Creator Hub
Tempi, Inc.
Connect, , and share work
Connect with colleagues and collaborators through shared workspaces and messaging. Schedule and join virtual meetings. Track projects and deadlines. Share files and feedback in real time. Build and manage teams within the .



FieldAgent •
Sentera, Inc.
Capture drone imagery and analyze crop data
Capture and analyze high-resolution drone imagery for crop health and performance. Plan drone flights for full field coverage. Generate real-time analytics and insights to track agronomic data throughout the growing season.

How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.