The problem
For many orchards in southeastern California, irrigation runoff from the Coachella and Imperial Valleys has resulted in salinity that's currently ~50% greater than that of the ocean. This high salt concentration disrupts the soil structure; reduces water infiltration; and leads to waterlogging, root zone toxicity, and interference with nutrient uptake by plants.
The goal
While the current solution (drip irrigation) is effective in conserving water, it inadvertently promotes other salinity issues by causing salts to accumulate in the root zone. Among 7 of these farms, this led to an average 14% decrease in soil fertility, which reduced the nutrient availability for crops and impacted tomato yields by up to 10%.
For specialty crop farmers, this adversely affects water balance regulation within plants because it causes leaf burn, reduces fruit quality, and produces yield losses of up to 30%. Organic farmers face additional challenges, as the salinity limits the effectiveness of natural soil amendments like compost and green manure, which complicates efforts to maintain soil fertility without synthetic fertilizers.
The primary objective of Agsight was to increase the yield of 7 farms in southeast CA by 10% over the next 2 growing seasons. This would be achieved by monitoring and adjusting irrigation schedules through near real time machine learning algorithms that facilitated optimal water use to reduce soil salinity levels by at least 20% and water waste by 15%.