Transparent Peer Review By Scholar9

Paper Title

“GREEN INTERNET OF THINGS FOR SMART IRRIGATION ”

Description / Abstract

Efficient water management has become one of the major challenges in modern agriculture due to increasing water scarcity, climate change, and the growing demand for food production. Traditional irrigation methods often result in excessive water consumption, uneven distribution, and increased labour costs. This research proposes a Green IoT-based Smart Irrigation System that utilizes Internet of Things (IoT) technology to optimize irrigation and promote sustainable farming practices. The proposed system employs soil moisture sensors, temperature and humidity sensors, and an IoT-enabled controller to continuously monitor field conditions in real time. Based on the collected sensor data, the system automatically controls the water pump, ensuring that crops receive the required amount of water only when necessary. Farmers can also monitor and manage the irrigation process remotely through a mobile application, enabling timely decision-making and reducing manual intervention. The proposed solution helps conserve water, reduce electricity consumption, minimize labour requirements, and improve crop productivity while preventing over-irrigation and under-irrigation. By integrating smart sensing, automation, and remote monitoring, the system provides a cost-effective, eco-friendly, and scalable solution for modern agriculture. This research highlights the significant role of Green IoT in achieving sustainable farming, efficient resource utilization, and enhanced agricultural productivity

Sumit Shekhar

Reviewer 4.8

Vishesh Narendra Pamadi

Sumit Shekhar Reviewer

Review Request Accepted

Sumit Shekhar Reviewer

Approved Rating

Relevance and Originality

Methodology

Validity & Reliability

Clarity and Structure

Results and Analysis

Comment

Relevance and Originality

The paper addresses an important issue in sustainable agriculture through IoT based irrigation and resource conservation. However, the originality is not sufficiently established because similar smart irrigation systems are already widely studied. The authors should clearly identify the specific innovation and research gap.

Methodology

The proposed use of soil moisture, temperature, and humidity sensors with automated pump control is understandable. However, important details such as sensor specifications, threshold values, sampling intervals, field conditions, crop type, experimental duration, and system architecture are missing. These details are necessary for reproducibility.

Validity and Reliability

The paper claims improvements in water conservation, power consumption, response time, and productivity, but provides no numerical measurements or statistical analysis. The comparison with conventional irrigation should use clearly defined conditions and measurable performance indicators.

Clarity and Structure

The manuscript is generally organized logically, but several sections repeat the same claims about water, energy, labour, and sustainability. The technical architecture and experimental procedure should be presented more clearly, with improved figure labeling and language consistency.

Results and Analysis

The results are mainly descriptive. Quantitative values for water savings, energy consumption, response time, and productivity are needed. The discussion should also compare the findings with previous research and distinguish demonstrated results from expected future benefits.

IJ Publication Publisher

Thank you for completing the review and for providing thoughtful academic feedback. Your observations are clear, constructive, and useful for strengthening the overall quality of the submission. We appreciate the time and expertise devoted to the evaluation.

Publisher

IJ Publication

All Reviewers

Sumit Shekhar

Reviewer

Vishesh Narendra Pamadi

Reviewer

Das Pakanti Yadav

Reviewer

Raja Kumar Kolli

Reviewer

Nimeshkumar Patel