CROP-i app icon

Apps Like CROP-i for iPhone and iPad

by FARMB PSIFIAKI GEORGIA P.C.★ 0.00 ratingsBusinessFreeData updated 2026-09-06

CROP-i screenshots

Ranked alternatives

Showing 301–320 of 1,000 ranked alternatives.

  1. MPBMSMA Member App app icon

    MPBMSMA Member App

    MYANMAR PULSES, BEANS, MAIZE & SESAME SEEDS MERCHANTS ASSOCIATION INCORPORATED

    Share agricultural knowledge and resources

    Share agricultural knowledge through articles, videos, and resources. Access forums and expert advice. Download guides and track local farming events. Submit feedback and request support.

    ★ 5.04 ratingsBusinessFreeData updated 2026-09-06
  1. Sirrus app icon

    Sirrus

    TELUS AGRICULTURE & CONSUMER GOODS (US) INC.

    Scout crops and share field data

    Agronomists and farmers can scout crops for pest pressures, record observation photos, and collect field data offline. They can create and share recommendations, generate PDF reports, and send them via email or text.

    ★ 3.543 ratingsProductivityFreeData updated 2026-09-08
  2. Crop Water app icon

    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.

    ★ 4.26 ratingsUtilitiesFreeData updated 2026-10-03
  3. Hone Lab app icon

    Hone Lab

    Rapid Phenotyping Pty Ltd

    Test samples, view results, make decisions

    Track sample history across multiple devices. View real-time protein and moisture readings for wheat and barley. Connect wirelessly to Red device for immediate test results. Make harvest and storage decisions based on accurate data.

    ★ 0.00 ratingsProductivityFreeData updated 2026-09-06
  4. Growz app icon

    Growz

    CONSORT GROUP, MAS ULIYATI CHEKLANGAN JAMIYATI

    ★ 5.01 ratingsBusinessFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.