Abstract: Agriculture is an important sector for economic reasons and for feeding purposes. It relys on traditional methods of monitoring plantation which requires a great deal of labour, time-consuming and prone to errors. This research paper considers the possibility of smart technologies in the enhancement of ease and reliability in plantation monitoring and management. The system focuses on sensors for soil moisture, temperature, humidity, and light measurements, which will aid the farmers in keeping track of their crop conditions. These sensor readings are transmitted to a cloud system to enable real-time viewing of data. Farmers will be able to view information either through the web or mobile application without necessarily visiting the field. Machine learning tools are utilized to predict issues such as crop health conditions, irrigation, and early disease symptoms. Thus, it would allow farmers to make necessary decisions fast before facing any huge damages.

The wireless communication approaches such as Wi-Fi and LoRa (Forest Ranger) are integrated to make data sharing smooth from the field all the way to the app. By doing so, the aim is to support farmers by reducing undue labour and helping them to effectively make use of water, fertilizers and other resources. From this, it can be concluded that smart monitoring helps improve productivity while preventing environmental waste. The conclusion of this study is that smart technology can enhance the efficiency and sustainability of plantation management hence, farmers will get better control over their crops, increase yields with better utilization of the same land and resources.

Keywords: Plantation monitoring, Sustainable Farming, satellite imaging, automation, soil testing, Machine Learning.

Downloads: | DOI: 10.17148/IARJSET.2026.13128