Research Overview

RSP Global Solutions is committed to developing innovative technologies that solve real-world challenges. Our research focuses on Artificial Intelligence, Internet of Things (IoT), TinyML, Embedded Systems, Precision Agriculture, Cloud Computing, and Smart Automation.

We collaborate with academic institutions and industry partners to develop intelligent, scalable, and sustainable solutions for future digital transformation.

Research

Research Areas

Artificial Intelligence

Machine Learning, TinyML, Edge AI, Computer Vision, Intelligent Automation.

Internet of Things

ESP32, Arduino, Wireless Sensor Networks, MQTT, Cloud IoT.

Smart Agriculture

Precision Irrigation, Smart Farming, Environmental Monitoring, Automation.

Current Research Project

TinyML-Based Smart Irrigation System Using ESP32 for Intelligent Water Management in Precision Agriculture


This research proposes an intelligent irrigation system using ESP32, TinyML, soil moisture sensors, DHT22, MQTT communication, and cloud monitoring. The objective is to reduce water consumption while improving crop productivity through intelligent decision-making at the edge.

Key Technologies
  • ESP32 Microcontroller
  • TinyML
  • Arduino IDE
  • MQTT Protocol
  • ThingSpeak Cloud
  • Soil Moisture Sensor
  • DHT22 Temperature & Humidity Sensor
  • Cloud Analytics

Publications

International Conference Paper

Design and Simulation of an IoT-Based Smart Water Management System for Sustainable Agriculture Using ESP32, Wokwi Simulation Platform, and ThingSpeak Cloud Monitoring

Status: Submitted for International Conference Review.

Future Research Directions

  • AI for Smart Agriculture
  • TinyML Edge Intelligence
  • IoT Security
  • Sustainable Water Management
  • Digital Twin Agriculture
  • Wireless Sensor Networks
  • AI-Powered Crop Monitoring
  • Cloud IoT Platforms

Research Collaboration

Interested in collaborative research, PhD supervision, or innovative technology development? Let's connect.

Contact for Collaboration