DATA ANALYTICS POWERED SMART PRECISION FARMING TO INCREASE CROP YIELD

Fecha de publicación: 24/03/2023
Fuente: Wipo "precision farming"
Precision farming is a farming management strategy that uses the latest technology such as sensors, machine learning, and data analytics to maximise the use of resources such as water, fertiliser, and pesticides in order to enhance crop yields while decreasing waste.Precision farming employs IoT (Internet of Things), Data Analytics and Machine Learning in a variety of ways, including the placement of sensors in fields that gather data on a range of elements such as soil moisture, temperature, and nutrient levels. This data is then sent into a machine learning algorithm, which analyses the data and makes recommendations to farmers on how to improve their agricultural techniques.Based on the individual demands of the crops, the algorithms may recommend when to water fields or when to apply various types of fertilisers or pesticides. Precision farming may assist farmers increase the efficiency and cost-effectiveness of their operations, as well as the environmental sustainability of their agricultural techniques. It can also assist farmers in producing higher-quality harvests by optimising growth conditions for certain crop varieties. The planned activity would raise farmer knowledge of the restricted use of essential resources, which will have an influence on precision farming.