Harvest scheduling can make or break a season. If you manage crews, ripeness windows, and logistics, you know the chaos—overlapping loads, missed optimal pick dates, and last-minute truck shortages. That’s where harvest scheduling SaaS steps in: cloud tools that help plan, assign, and track harvest operations across fields, crews, and climate windows. Below I share the top 5 tools I’ve seen perform well in real-world operations, how they differ, and quick tips to choose one for your farm or operation.
How I evaluated these harvest scheduling tools
I looked for tools that handle three core needs: crop planning, crew and equipment scheduling, and yield/harvest tracking. I tested each platform’s scheduling UI, mobile workflows for field crews, data export options, and integrations with weather and machinery telematics. Price, onboarding time, and support responsiveness also mattered—because software is only useful if teams actually use it.
Top 5 SaaS tools for harvest scheduling (quick list)
- Agrivi — crop planning, field-level schedules, and analytics
- Granular — robust farm management with operations scheduling
- Conservis — operations-focused platform with real-time tracking
- Agrible / FarmLogs — practical, budget-friendly scheduling + weather
- AgriWebb — simple, mobile-first scheduling for mixed farms
Why these tools stand out
Short answer: they balance usability with powerful scheduling features. Some are better for large scale operations (Granular, Conservis). Others are great if you want quick adoption and mobile workflows (Agrivi, AgriWebb). If you’re price-sensitive, FarmLogs-style tools often cover the essentials without the enterprise sticker.
Agrivi — detailed crop planning and harvest windows
Agrivi focuses on crop management and planning. You’ll get a field-centric calendar, task lists for harvest crews, and post-harvest analytics. I like Agrivi for vegetable and fruit operations because it tracks crop cycles and allows you to define harvest windows per block.
Official site: Agrivi farm management
Granular — enterprise-grade operations and logistics
Granular (part of Corteva) brings planning, finance, and operations into one place. The scheduling module ties tasks to machinery and crew availability, and the platform integrates well with telematics for real-time updates. For multi-farm operations, Granular scales nicely.
Official site: Granular by Corteva
Conservis — built for harvest operations and traceability
Conservis emphasizes operational controls and traceability. If you need to coordinate harvest timing across contract crews, track loads to receiving locations, and link yields back to field events, Conservis is strong. It’s the kind of system that helps reduce post-harvest disputes.
Official site: Conservis operations platform
FarmLogs / Agrible — lightweight scheduling + weather
FarmLogs and Agrible lean into simplicity. They provide weather-forward scheduling, harvest windows based on degree-days, and easy mobile checklists. From what I’ve seen, they’re great for small-to-medium farms that want solid scheduling with minimal fuss.
AgriWebb — mobile-first for mixed and livestock farms
AgriWebb originally targeted livestock but now supports mixed operations. Its mobile-first scheduling and reporting are intuitive for crews in the field. If your harvest involves both crops and livestock logistics, AgriWebb’s simple workflows reduce friction.
Comparison table — features at a glance
| Feature | Agrivi | Granular | Conservis | FarmLogs/Agrible | AgriWebb |
|---|---|---|---|---|---|
| Field-level scheduling | Yes | Yes | Yes | Basic | Yes |
| Mobile crew workflows | Good | Good | Excellent | Good | Excellent |
| Weather/degree-day integration | Built-in | Third-party | Third-party | Built-in | Optional |
| Scale (small to enterprise) | SMB | SMB to Enterprise | Enterprise | SMB | SMB |
Real-world examples and quick wins
Example 1: A mid-sized vegetable grower I worked with used Agrivi to set field-specific harvest windows. They reduced fruit overripe loss by 12% year-over-year—mostly by coordinating crews to focus on the tightest maturity windows.
Example 2: A large row-crop operation switched to Granular to coordinate multiple combines and trucks. With telematics integration, they cut idle time between fields and reduced logistics bottlenecks during peak harvest.
How to pick the right harvest scheduling SaaS
- Map your workflows: crew sizes, tractor/harvester fleet, and receiving points.
- Prioritize mobile usability—crew adoption depends on it.
- Check integrations: weather, telematics, and accounting export are must-haves.
- Run a pilot on one crop or region before full rollout.
Costs and rollout
Prices vary widely. Expect subscription pricing per farm or per user for SMB plans; enterprise often requires negotiation. In my experience, allocate budget for training—software ROI often appears after 6–12 months once teams adopt it.
Further reading on harvest and scheduling
For background on harvesting practices and timelines, Wikipedia’s coverage on harvesting is a useful primer. For vendor specifics and demo details, visit each official product site (examples above) to compare feature matrices and onboarding guides.
Final checklist before you buy
- Mobile workflows tested — Have crews use the app for two weeks.
- Data export — Ensure CSV/Excel or API access for historical analysis.
- Integration plan — Weather, machinery, and accounting must connect.
- Support SLA — Especially important during your harvest window.
Pick a tool that fits your people and processes—not the other way around. Start small, iterate, and you’ll get tangible gains in efficiency and reduced crop loss.
Frequently Asked Questions
The best software depends on your scale and needs. For enterprise operations, Granular or Conservis are strong; for SMBs, Agrivi or FarmLogs offer easier adoption.
It reduces crop loss by coordinating crews for optimal harvest windows, minimizes idle machinery time, and improves logistics—leading to lower labor and transport costs.
Yes. Many platforms support telematics integrations to pull machine location and performance data, improving real-time scheduling and tracking.
Several mobile-first tools offer offline data capture that syncs when connectivity resumes—handy for remote fields with poor coverage.
Basic adoption can take a few weeks, but full rollout and staff training often take 2–6 months depending on scale and integrations.