AI Use CaseDescription
Managing riskFarmers can use forecasting and predictive analytics to reduce errors in business processes and minimize the risk of crop failures.
Breeding seedsBy collecting data on plant growth, AI can help produce crops that are less prone to disease and better adapted to weather conditions.
Monitoring soil healthAI systems can conduct chemical soil analyses and provide accurate estimates of missing nutrients.
Protecting cropsAI can monitor the state of plants to spot and even predict diseases, identify and remove weeds, and recommend effective treatment of pests.
Feeding cropsAI is useful for identifying optimal irrigation patterns and nutrient application times and predicting the optimal mix of agronomic products.
HarvestingWith the help of AI, it’s possible to automate harvesting and even predict the best time for it.