MSU researchers develop low-cost sensors to help farmers irrigate more efficiently, manage diseases
With LOCOMOS, the in-field sensors measure soil moisture, leaf wetness and other environmental conditions. The data is then analyzed by software that generates precise irrigation recommendations and delivers them to growers via an easy-to-use smartphone app.
Disease in the field: The dilemma of choosing between fast and accurate tests
Drought, severe weather, fire - they all reduce yields, but disease is far and away the biggest barrier to achieving a more bountiful harvest. Worldwide, plant diseases and pests account for up to 40% of the yield losses in key crops.
How AI Is Used for Crop Disease Diagnosis
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Incorporating AI is one of the most effective ways to tackle a top farming fear - crop disease. How is the tech capable of accurately diagnosing sick crops?
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