Application of Smart Techniques, Internet of Things and Data Mining for Resource Use Efficient and Sustainable Crop Production

Technological advancements have led to an increased use of the internet things (IoT) enhance resource efficiency, productivity, and cost-effectiveness agricultural production systems, particularly under current scenario climate change. Increasing world population, variations, propelling demand for food are hot discussions these days. Keeping in view importance abovementioned issues, this manuscript summarizes modern approaches IoT smart techniques aid sustainable crop production. The study also demonstrates benefits using establishment smart- resource-use-efficient farming systems. Modern technology not only aids sustaining productivity limited resources, but can help observing climatic monitoring soil nutrients, water dynamics, supporting data management assisting insect, pest, disease management. Various type sensors computer tools be utilized recording cropping which ensure opportunity timely decisions. Digital camera-assisted systems producers monitor their crops remotely. simulate predict yield forecasted conditions, thus assist decision making various practices, including irrigation, fertilizer, insecticide, weedicide applications. We found that neural networks simulation models could prediction better support with average accuracy up 92%. Different numerical irrigation save energy by reducing it 8%, whereas advanced helped cost 25.34% as compared soil-moisture-based system. Several leaf diseases on managed image processing a genetic algorithm 90% precision accuracy. Establishment indoor vertical worldwide, especially countries either lacking supply sufficient or suffering intense urbanization, is ultimately helping increase well enhancing metabolite profile plants. Hence, employing tools, system used stabilize improving efficiency applied resources i.e., fertilizers.