Irrigation is a crucial component of agriculture, and technology-driven irrigation systems can significantly enhance farmers’ active participation and productivity. This study presents two distinct IoT-enabled irrigation methods. The two new irrigation methods in small-scale farming that are introduced in this research are a solar-powered irrigation system and an IoT-based irrigation method with the use of a compound gear train mechanism. The latter is specifically designed to provide operational effectiveness during low sunlight hours, thus providing a steady supply of water. The speedy innovation of Internet of Things (IoT) technology has dramatically evolved farming activities, providing innovative solutions for improving crop production and making better use of resources. The current study ventures into the collaboration of IoT and climate-resilient technologies with a view to revolutionizing the agricultural irrigation sector through the harnessing of renewable energy. ESP8266 is at the heart of our concept, renowned for its easy-to-use interface as well as support for Wi-Fi, allowing a smart irrigation system to be implemented. The main objective of the current research is to design and develop a state-of-the-art circuit using the ESP8266 microcontroller to sense key environmental parameters such as Relative Humidity (RH), Dry Bulb Temperature, and Soil Moisture content. The system enables programmable control to keep the soil moisture content at its optimal level, i.e., for a saturation level of 80%. In addition, we suggest the incorporation of current solar water pumping and storage models in our IoT-based irrigation system to create a climate-resilient irrigation system. This is highly efficient for cultivating fruits and vegetables using drip and sprinkler irrigation methods. Under conditions of low sunlight, the gear train-driven irrigation system provides continuous water supply, making irrigation more reliable. This work develops a smart, climate-resilient irrigation system combining a compound gear train, solar power, and IoT-based control using an ESP8266 microcontroller. It addresses challenges in traditional irrigation by enabling real-time monitoring and efficient water use. Field testing in Odisha validated its effectiveness, showing potential for sustainable, low-cost, and scalable application in precision agriculture.