Smart Irrigation and AI

Most irrigation systems worldwide use timed, robotic controllers to water landscapes on pre-determined schedules. Modern smart irrigation controllers bring this a step further by automatically adjusting their use via independently accessing the internet to predict the weather. Further, they use on-the-ground sensors to measure rainfall and soil moisture.

The future of this technology utilizes artificial intelligence (AI) and more advanced sensors to integrate every possible, measurable factor from the environment. Smart irrigation controllers will then cross-reference this information with botanical databases to determine each plant’s exact water needs in its current landscape.

Local or large-scale farmers alike now hold a clear path for AI-led management of their crops regardless of season, water, temperature, sunlight, one-off events, and more. The potential factors affecting crop yield are extensive. Thanks to machine learning, what would take a lifetime to master can now be understood in a single season.

AI is continuing to prove its use cases across industries. Automated irrigation expands the capacity of farmers worldwide, who may find themselves able to farm more crops across various environments with limited additional costs.

design and development by covio.fr