INTEGRATING MACHINE LEARNING TECHNIQUES ALONG WIRELESS SENSOR NETWORKS FOR PRECISION IN AGRICULTURE

Fecha de publicación: 17/03/2023
Fuente: Wipo "precision farming"
INTEGRATING MACHINE LEARNING TECHNIQUES ALONG WIRELESS SENSOR NETWORKS FOR PRECISION IN AGRICULTUREOne of the most promising technologies for some real-time applications because of its size, cost-effectiveness, and easily deployable nature. Agriculture is the most important role played in the survival of human civilization. The technological advancement in wireless communication and reduction in the size of the sensor is innovatively projected in various fields such as environmental monitoring, precision farming, health care, military, and smart home. Motes used in agriculture and challenges involved in the deployment of a wireless sensor network. Smart farming has played a major role to enhance production in the field of agriculture. The natural irrigation system is under pressure due to the growing water shortages, which are mainly caused by population growth and climate change. The change in climate affects crop production significantly, and the prediction of good harvests before harvesting. Enables the farmers as well as the government officials to take appropriate measures for the marketing and storage of crops.