Agriculture is vital to Asian economies, especially in the subcontinent, where farming is a primary income source for village populations. Crop cultivation is highly dependent on environmental factors and soil fertility. Unpredictable weather and seasonal changes make it challenging for farmers to choose appropriate crops and manage soil health, leading to economic disparities and threatening agricultural livelihoods and the global economy. Research shows that while chemical fertilizers can boost crop yields temporarily, they eventually degrade soil fertility, reducing productivity over time. To tackle these issues, we developed an innovative IoT framework to monitor soil and weather conditions in real time. Using advanced deep learning techniques, this system provides farmers with timely and accurate recommendations for crops and fertilizers, tailored to specific environmental and soil conditions. Real-world testing of our system demonstrated a 29% increase in crop productivity and a 25% improvement in soil fertility. By integrating technology with traditional farming practices, this innovative solution aims to sustain soil health, enhance agricultural output, and support economic stability and growth in farming communities across the region.