Discover published sets by community

These controllers adjust irrigation schedules based on local weather conditions, such as rainfall, wind, and evapotranspiration rates, improving water use efficiency by watering only when necessary.

Smart sprinkler controllers connect to the internet and use real-time weather data to adjust watering times and quantities to prevent overwatering while maintaining lawn and garden health.

Drones equipped with multispectral imaging can monitor crop health and spot irrigation issues, allowing for rapid and precise adjustments to watering systems to address plant stress before it affects yield.

A type of micro-irrigation system that aims to save water and nutrients by allowing water to drip slowly to the roots of plants, either from above the soil surface or buried below the surface, achieving more efficient water use and healthier plants.

VRI technology adjusts the amount of water being applied to different parts of a field based on specific crop needs, soil conditions, and other data, thus optimizing water usage for heterogeneous fields.

Using weather data to estimate the loss of water from soil through evaporation and plant transpiration, these controllers automate the irrigation process to apply the right amount of water based on current plant water use.

Flow meters measure the volume of water used during irrigation, providing valuable data to adjust flow rates and prevent both under and over-irrigation, thereby ensuring efficient water use and reducing costs.

This involves the use of satellites or aerial images to assess crop health and soil moisture levels, informing irrigation decisions to target specific areas that need water, thereby conserving water and enhancing crop yields.

These sensors measure the volumetric water content in soil, providing data to optimize the watering schedule and amount, thus greatly reducing water waste by ensuring crops receive the precise amount of water needed for optimal growth.