Implementation of Technology for Modern Management of Agriculture Field Impacting the Socio-Economic Condition of Pakistan

Abstract

This research focuses on implementing modern techniques involving technology for the better management of agriculture fields contributing to the betterment of socioeconomic condition of Pakistan. An AI-based smart agriculture system that uses sensor technology for real-time field monitoring and supports both automated decision-making and human user control. The system uses sensor links to collect current information on a range of predictors, such as humidity, temperature, soil moisture, and crop health then sends it to the database so that it can be shown on the website. With the help of these sensors, the field is continuously monitored, giving users knowledge of the factors influencing crop growth. AI algorithms are used to interpret and analyze the data that has been acquired, giving the system the ability to automatically decide how best to allocate resources like water and pesticides. To deliver timely and accurate treatments, AI algorithms consider elements such as crop water requirements, illness detection, and insect infestations. Users can take an active role in decision-making because of the system's manual user control features. Users have the option to override automated judgments and make human adjustments depending on their knowledge and preferences through a user interface. This feature offers flexibility and gives users the ability to modify the system's operations to suit their requirement.