Precision Agriculture Technologies for crop monitoring and management

In India, agriculture is a significant industry that is both essential for presence and a critical financial support point. There is an extraordinary opportunity to settle farming creation issues with valuable and proficient arrangements because of machine learning (ML). The accuracy of current Agricultural precision technologies, such manual counting, environment brilliant bug control, and satellite photography, vary based on the precision method and inadequate. In this way, using advances like remote detecting, geographic information systems (GIS), global positioning systems (GPS), the Internet of Things (IoT), and so forth, researchers and specialists are attempting to upgrade agricultural result projections; in any case, the outcomes are not empowering. The fundamental objective of this method is to further develop agricultural creation forecast through the use of ML procedures. To accomplish high precision, the recommended framework utilizes ML models that have been prepared on authentic information utilizing support vector regression (SVR) and multi-layer perceptron’s (MLP) to achieve the high precision crop monitoring and management.