Smart Agriculture Based on Weather and Crop Prediction Using Edge and Cloud Computing

The pressure to feed the growing global population is only growing. Farmers now have to balance the need to safeguard the environment, water scarcity, and climate change with growing more food. Due to its slowness, resource waste, and excessive reliance on guesswork, traditional farming simply cannot keep up. The integration of IoT with edge and cloud-based computing can help with that. The field gains some real intelligence from this mix. In this study, we examine a smart agriculture system that integrates cloud and edge innovations. It keeps the entire operation operating autonomously while enabling farmers to sense what's happening in the moment, process data quickly, and even predict what's coming next. Edge devices make snap decisions and perform calculations involving mathematics on decisions and crunch numbers. While the cloud stores huge quantities of data, runs in-depth analyses, and guides long-term planning, edge devices make snap decisions and crunch numbers. As a result, the system operates smoothly, crops grow better, and less water and fertilizer are used. According to recent experiments, this approach greatly boosts efficiency in agriculture and improves sustainability overall. We finish by looking at the other obstacles and possible futures of smart farming technology