Publication Details
Issue: Vol 2, No 9 (2025)
ISSN: 2997-9382

Abstract

Wireless sensor networks (WSN) represent a change in accurate agriculture, offering real -time environmental monitoring and intelligent decision -making skills. It checks the distribution of WSN in agricultural settings to improve and increase research efficiency, reduce and increase resource consumption. Sustainability. WSN consists of distributed sensorism that collects data on the most important environmental variables such as soil moisture, temperature, humidity and light intensity. These figures are transferred to wirelessly centralized processing units, where artificial intelligence (AI) and machine learning (ML) algorithm algorithm patterns are used to analyze patterns, detect and predict optimal agricultural functions.
Integration of WSN -R with Internet of Things (IoT) platforms enables continuous connections, distance monitoring and automation of water, fertilization and insect control processes. In addition, the use of renewable energy sources, such as sunscreen, addresses, challenges related to power consumption and location in remote areas. This report also investigates the integration of wireless sensor networks with drones and blockchain technology, and examines data security and the use of blockchain for scalable agricultural networks .
Conclusions suggest that the WSN-based smart agricultural system significantly improves crop productivity, reduces water and chemical use and contributes to long-term environmental stability. As climate change and food security become global concerns, the implementation of the intelligent sensor network appears as an important solution for the construction of flexible agricultural systems.

Keywords
Wireless Sensor Network (WSN) Internet of Things (IoT) Artificial Intelligence (AI) Machine Learning (ML)