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Description: Relies on weather data to estimate the water usage of a crop and schedule irrigation accordingly. Benefits: Improved water use efficiency, reduced water waste, and adapts to current climate conditions. Typical use-case: Useful in areas where weather data is readily available and in managing large irrigation systems.

Description: Tracks the water balance of the soil, akin to a financial checkbook, accounting for inputs and outputs to schedule irrigation. Benefits: Balances the water budget, prevents under/over-irrigation, easy to understand. Typical use-case: Good for farmers who want to estimate irrigation needs without sophisticated equipment.

Description: Utilizes real-time sensor data to automatically control irrigation systems. Benefits: Labor-saving, real-time adjustments, highly efficient water use. Typical use-case: Ideal for advanced agricultural operations and in greenhouses.

Description: Aligns irrigation with specific stages of plant growth or phenological indicators. Benefits: Targets critical growth periods for optimal yield, prevents water stress. Typical use-case: Employed in orchards where different growth stages require different amounts of water.

Description: Uses sensors to measure soil moisture content to decide when to irrigate. Benefits: Conserves water, prevents over/under-watering, and enhances crop yield. Typical use-case: Best for high-value crops with sensitive moisture requirements.

Description: Uses long-term historical evapotranspiration data to inform irrigation schedules. Benefits: Provides a baseline for water requirements, streamlined for established crop patterns. Typical use-case: Useful for regions with stable climate patterns and well-known crop water needs.

Description: Irrigation is applied at regular intervals based on the calendar date. Benefits: Simplicity and ease of planning. Typical use-case: Used for crops with predictable water needs or when high-frequency irrigation is not required.