The blistering development of precision agriculture requires energy efficient cost effective and scaled communication frameworks, especially where there is low connectivity in remote settings. This paper suggests a low-power LoRaWAN architecture designed to serve smart agriculture systems that encompass adaptive data rate (ADR), duty cycling optimization, and sleep wake scheduling to maximize device life and at the same time maintain reliable communication. The sensor nodes are included in the system architecture to monitor soils and environmental parameters, a LoRaWAN gateway, network server, and cloud-based analytics to provide real-time decision support.Simulation analysis has shown that the proposed framework will lower the energy per packet to an average of 60 mJ with a 50% increase in network lifetime in comparison to traditional LoRaWAN installations. The ratio of the packet delivery (PDR) stays over 85 percent at 2 km and uplink latency is limited to less than 3.5 seconds at medium traffic loads. The high energy efficiency, reliability and scalability of the proposed approach are confirmed by comparative analysis with benchmark studies (Singh et al., 2020; Casals et al., 2017).The results highlight the prospects of LoRaWAN as a backbone technology to enable sustainable smart agriculture in isolated areas, which opens the possibility of having a resilient and data-driven farming system.