Sensor-Based Data Collection for Agricultural Land Management

Abstract - This research explores the integration of sensor-based technology in agricultural land management, focusing on the implementation within Yield Hub, a web application designed for landowners and seekers. The study investigates how sensors can collect and analyze data on weather and soil conditions to determine the optimal growing season for various crops. By leveraging IoT-based sensors, real-time environmental monitoring is facilitated, providing farmers with accurate and timely insights. The research highlights technical challenges, solutions, and the impact of sensor-driven data on agricultural productivity. The findings demonstrate that incorporating sensor technology within Yield Hub can enhance decision-making, optimize land use, and improve crop yield predictions. This study further explores the advantages of integrating technology in agriculture, paving the way for sustainable and efficient farming techniques. The role of precision farming is examined in depth, ensuring that modern technological advancements are utilized to improve overall agricultural output and efficiency.