This research investigates the emerging challenges affecting farming in the process of improving smart farming as well as getting quality yields. Using the smart system lets maximize output while minimizing input. Current IoT technology has widely improved crop production from the manual strenuous old farming to smart farming through the use of IoT technological tools which are used to support the work on the farm, such tools include robots, sensor integrated with analytical tools for monitoring the farm. These systems can manage the surveillance in and around the home as well as who has access to the farm gates if they are equipped with smart locks. IoT in smart farming aims to increase efficiency, reduce resource wastage and ultimately improve overall agricultural productivity. The smart farming techniques in IoT leverage connected devices to enhance agricultural practices. The research was conducted in Kiambu county and used questionnaires to obtain respondents from various companies. The objectives concerned in this chapter is to examine the impact of IoT sensors on horticultural farming in Kiambu; determine the best real time guidance and leg requirements in horticultural farming; examine IoT sensors, data analytics and decision support in the application of IoT techniques on various farms. The research used questionnaire research design and purposive sampling techniques. This research explores the transformative journey of traditional farming practices to a technologically advanced landscape, focusing on the integration of internet of things. Through this research implementation of IoT devices to enhance crop management resource utilization and overall agricultural efficiency is achieved. It also included a targeted population of 60 farmers but only 16 farmers will be sampled. While conducting research the following problems were experienced; many farmers in Kiambu county embraced the old way of farming; accepting of this new IoT computer-based skills was quiet challenging. The study found out that there was positive relationship between data analytics and application of IoT technology and descriptive analysis included a positive relationship among the research