https://matjournals.net/engineering/index.php/JIIS <p class="contentStyle">Journal of Instrumentation and Innovation Sciences is a print e-journal focused towards the rapid Publication of fundamental research papers on all areas of Instrumentation. This Journal involves the basic principles of art and science of measurement and control of process variables within a production or manufacturing area. Focus and Scope includes Design and Develop Control Systems, Maintain the Existing Control Systems, Industrial Instrumentation, Process Control, Sensors, Monitoring of Processes and Operations, Control of Processes and Operations, Experimental Engineering Analysis, Collaborate with Design Engineers, Quality Standards.</p> <h6 class="mt-2"> </h6> <div class="card"> </div> en-US Journal of Instrumentation and Innovation Sciences https://matjournals.net/engineering/index.php/JIIS/article/view/2381 <p><em>The evolution of automation and the growing emphasis on environmental sustainability have created significant opportunities for innovation in lawn maintenance systems. This paper focuses on the development of a Solar Powered Autonomous Lawn Mower integrated with Machine Learning (ML), aimed at delivering a self-sustaining and intelligent solution for efficient lawn care. Traditional lawn mowers require manual operation and are often powered by fossil fuels or conventional electricity, contributing to both labor intensity and environmental degradation. In contrast, the proposed system addresses these limitations by combining renewable energy utilization and advanced computational techniques to create a smart, energy-efficient, and autonomous mowing platform</em>.</p> Srinivasan S Nandish Jayanth U. M Revanth S Satish E. Appoji Copyright (c) 2025 Journal of Instrumentation and Innovation Sciences 2025-08-29 2025-08-29 10 3 1 8 https://matjournals.net/engineering/index.php/JIIS/article/view/2467 <p><em>The growing need for sustainable agriculture and efficient water use has led to the development of automated irrigation technologies. This study details the design and implementation of a smart irrigation system that uses an Arduino Uno microcontroller, a soil moisture sensor, and a 5V relay module to control a water pump based on real-time soil conditions. The system continuously monitors the soil moisture levels through analog readings from the sensor connected to the Arduino’s A0 pin. Based on these readings, the system intelligently determines whether to turn the water pump on or off using a relay module. To enhance user interaction, an I2C-based 16×2 LCD is integrated, which provides live updates on the system status, including the pump’s operational state and the detected moisture level categorized as High, Mid, or Low. The project was tested under different soil moisture conditions to validate its functionality and responsiveness. It successfully demonstrated automatic irrigation when the soil was dry and halted watering when the moisture level was sufficient, thus conserving water effectively. This automated irrigation system is simple, low-cost, and scalable for small-scale farming, gardens, and educational purposes. Reducing human intervention helps farmers manage irrigation more efficiently and sustainably. Furthermore, the system contributes to water conservation and aligns with modern agricultural practices, promoting smart farming techniques. </em></p> Bhakti M. Kadam Shraddha K. Pandhe Nirjala N. Ligade Anishka R. Raut Kishor T. Narale Kishor P. Jadhav Copyright (c) 2025 Journal of Instrumentation and Innovation Sciences 2025-09-23 2025-09-23 10 3 9 15