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174 articles for “Precision Agriculture”
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A Circuit Approach for CMOS VLSI Circuit Leakage Power Reduction
Abstract: Despite the fact that scaling CMOS technology boosted speed, leakage currents always remained an issue. The issue has gotten worse as the scaling has gone into the UDSM (ultra-deep-submicron) range. In order for the circuit to function effectively, these unwanted leakage currents must be reduced to a minimum. It is challenging to create these leakage-free nano-scale CMOS circuits. In this work, the issue of leakage power is addressed, which occurs …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 3, 2022 · pp. 7–18 Read article
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The Role of IoT in Sustainable Agriculture: Leveraging Big Data for Precision Farming
Abstract: Precision farming combined with the Internet of Things (IoT) is transforming the agricultural industry by boosting productivity and encouraging sustainable practices.. This paper explores the transformative impact of IoT technologies on modern agriculture, focusing on how big data analytics can be leveraged to optimize farming practices, reduce waste, and conserve resources. The Internet of Things (IoT) offers real-time data on a range of agricultural characteristics, including soil moisture, temperature, humidity, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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A Comparative Analysis of Machine Learning Techniques for Fruit Defect Detection Systems
Abstract: With evolving technologies in machine learning, significant advancements have been made in the livestock industry, helping to reduce waste, increase yield, achieve cost savings, and improve competitiveness in the marketplace. Fruit defect detection models support precision agriculture by providing valuable data for decision-making and enhancing overall efficiency through automated inspection processes. This study implements and comparatively evaluates machine learning models including MobileNetV2, a custom-designed convolutional neural network (CNN) model, ResNet50, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 37–47 Read article
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Comparative Assessment of Tropical Basins in the Savanna and Rain Forest Ecological Zones for Crop Production in Nigeria
Abstract: AbstractThis paper reviews the precarious situation of agricultural production in Africa and Nigeria specifically, in line with the emerging concepts of geoinformatics, precision farming and sustainable agricultural intensification. To illustrate the feasibility of operationalising these concepts in Nigeria, Ikpoba and Orle River basins (that are of the rain forest and savannah ecological zones, respectively) were classified into land suitability zones for the optimum cultivation of maize, cassava, yam and oil …
Published in Research & Reviews : Journal of Ecology · Vol. 3, Issue 1, 2014 · pp. 1–14 Read article
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A review on polyhouse monitoring system
Abstract: The integration of Internet of Things (IoT) technology in agriculture has revolutionized traditional farming practices, offering innovative solutions to enhance productivity, sustainability, and resource efficiency. This study explores the role of loT-based systems in smart agriculture, focusing on applications such as environmental monitoring, automated irrigation, crop health prediction, and precision farming. The reviewed systems utilize advanced sensors to monitor parameters like temperature, humidity, soil moisture, and light intensity, transmitting real-time …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 1–9 Read article
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A Review Paper on: Smart Irrigation with Fertilizer\Pesticide Integration
Abstract: Smart agriculture, driven by the Internet of Things (IoT), represents a paradigm shift in modern farming practices. Precision, resource optimization, and environmental sustainability are central objectives in agricultural research and development. This research paper delves into the development and implementation of a groundbreaking project, titled Smart Irrigation Using IoT, which encompasses soil moisture sensing, automatic irrigation control, and the integration of fertilizer and pesticide application via an Arduino Uno microcontroller. …
Published in Journal of Microcontroller Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 33–41 Read article
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Flora Guardian: An Advanced Robotic System for Sustainable Weed Control and Precision Pesticide Application
Abstract: Agricultural systems are under pressure to enhance crop productivity while minimizing environmental damage. Efficient weed control and pesticide application are fundamental for sustainable agriculture, but traditional methods often fall short due to high labor costs and ecological harm. Existing robotic solutions, including drones and multi-legged robots, exhibit significant limitations, such as operational complexity and limited payload capacity. In contrast, Flora Guardian represents a novel approach by combining of weed detection …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 21–28 Read article
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IoT and Sensor Technologies: Pioneering Smart Agriculture for a Sustainable Future
Abstract: Smart agriculture provides creative answers to important global problems including resource efficiency, environmental sustainability, and food security. It improves agricultural yields, reduces waste, and optimizes farming operations by combining technologies like IoT, AI, and big data. This strategy ensures dependable food supply for a growing population while minimizing environmental damage and promoting sustainable development. In addition to solving the problems facing agriculture now, smart agriculture opens the door to a …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 1–8 Read article
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Optimization of Pesticide Requirement Calculations for IoT-Operated Hexacopter Delivery Systems
Abstract: The integration of Internet of Things (IoT) technology into precision agriculture has transformed pesticide application strategies, enabling resource-efficient and environmentally sustainable practices. This study presents a computational methodology for optimizing pesticide requirements in an IoT-operated hexacopter system, designed for dynamic, data-driven pesticide delivery. Leveraging a fusion of real-time telemetric data from onboard LiDAR, multispectral imaging sensors, and environmental monitoring modules, the system employs predictive analytics and edge computing to calculate …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 08–14 Read article
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Digital Farming: A Review on Agricultural Technologies and Data- Driven methods
Abstract: The article provides a comprehensive overview of the digitalization of farming and explores the technologies and data-driven approaches revolutionizing modern agriculture. The study examines the role of digital technologies such as precision agriculture, Internet of Things (IoT), artificial intelligence (AI), and data analytics in transforming various aspects of farming practices, including crop management, livestock production, and farm operations. The article reviews the application of sensor technologies for real-time monitoring of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 12, Issue 1, 2023 · pp. 9–15 Read article
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Smart Agriculture: IoT-Based Automation and Monitoring for Enhanced Farming Efficiency
Abstract: This paper presents the development of an innovative agriculture automation and monitoring system designed to improve farming efficiency through the integration of low-cost sensors and microcontrollers. The system utilizes components such as PIR motion sensors, soil moisture sensors, DHT11 humidity sensors, and a relay motor pump for precise automation of irrigation and environmental monitoring. NodeMCU (ESP8266) acts as the primary controller, facilitating real-time data gathering and decision-making. Results show significant …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 1–11 Read article
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A System of Smart Irrigation with Precise Pesticides and Fertilizers Integration in Waterflow
Abstract: The paper extensively discusses the hardware components essential for the system, including the Arduino Uno microcontroller, soil moisture sensors, water pumps, and dispensers for fertilizers and pesticides. Key IoT components, such as an IoT module (e.g., ESP8266), facilitate data transmission and remote control via a dedicated mobile application. A pivotal aspect of this research is the development of the mobile application, which empowers users to monitor soil moisture levels, control …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 3, 2023 · pp. 1–10 Read article
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Agricultural Chemistry: Advances in Soil Preservation, Fertilizers, and Plant-Protection Chemicals
Abstract: Agricultural chemistry plays a pivotal role in enhancing agricultural productivity by improving soil quality and providing essential plant nutrients. The use of fertilizers, plant-protection chemicals, and growth hormones has revolutionized crop production, ensuring higher yields and food security. This review delves into the chemistry behind soil preservation techniques, fertilizers, and plant-protection chemicals such as pesticides, herbicides, insecticides, and fungicides. Emphasis is placed on the development and optimization of fertilizers that …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 1, 2025 · pp. 1–5 Read article
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Utilization of kairomones to reduce the use of pesticides on Zea Mays crops
Abstract: Plant-derived kairomones represent a critical yet under- explored class of allelochemicals that orchestrate complex communication within maize-based intercropping systems. Beyond their role as simple signalling molecules, these compounds act as key determinants in the rhizosphere, influencing the recruitment of beneficial soil microbiota, modulating nutrient bioavailability, and enhancing plant tolerance to abiotic and biotic stresses. primary objective of this review is to provide a comprehensive synthesis of the biochemical pathways and …
Published in International Journal of Insects · Vol. 3, Issue 2, 2026 Read article
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A Module to Connect Different Sensors to The Existing Varun Main Controller Device
Abstract: This research paper presents the development of a sensor interface module that expands the data acquisition capabilities of existing Varun main controller devices. Traditional agriculture frequently makes decisions based on past performance, which can result in inefficiencies and have an adverse effect on the environment. By utilizing sensor technology and data analysis, precision agriculture presents a possible option. This method gathers real-time data on a range of agricultural factors by …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 3, 2023 · pp. 30–43 Read article
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AGRISMART: Crop and Soil Management System
Abstract: Agriculture has played a crucial role in developing countries where the majority of the rural population relies on it for their livelihoods. A finer-grade crop classification has become crucial in the context of precision agriculture. In recent years, the volume of open image data has grown significantly. This can be used in combination with machine learning techniques to classify crop types in the agricultural industry. The proposed crop species recognition …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 50–55 Read article
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Physico-Chemical Soil Analysis: A Scientific Approach to Life on Land and Terrestrial Ecosystem Conservation for Supporting SDG 15 Goals
Abstract: Soil health and fertility evaluation are foundational elements in the sustainable management of ecosystems and the enhancement of agricultural productivity. Accurate assessment of soil properties, especially Carbon (C), Nitrogen (N), and Phosphorus (P), is critical for informed decision-making in agriculture and environmental conservation. However, traditional laboratory methods for analyzing these essential nutrients often involve significant resource allocation and time commitments, making them less practical for large-scale or time-sensitive applications. To …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 1, 2025 · pp. 25–23 Read article
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Harnessing IoT and Sensor Technologies for Smart Agriculture: A Path Towards Viksit Bharat
Abstract: The integration of Internet of Things (IoT) and sensor technologies is redefining the landscape of Indian agriculture, serving as a catalyst for achieving the ambitious vision of Viksit Bharat (Developed India). Indian agriculture faces significant challenges such as resource scarcity, climate variability, and fragmented supply chains, which hinder productivity and sustainability. IoT-based solutions offer innovative approaches to address these critical issues by enabling smart irrigation systems, real-time field monitoring, precision …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 38–45 Read article
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Revolutionizing Agriculture: Botani Scan’s Deep Learning for Plant Disease Diagnosis
Abstract: Crop disease detection is of key importance because of its role in food safety but infrastructural issues still hamper diagnosis in most regions worldwide. Accurate plant disease identification is essential to secure food, predicting yield decline and managing epidemic outbursts. The advent of digital cameras along with the progress of computer vision technology brings to light the mounting demands for the development of automated disease detection methods in precision agriculture, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 Read article