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449 articles for “forests”
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Machine Learning Regression Based Approach for Prediction of the Ultimate Tensile Strength of Tungsten Inert Gas Welded Joints
Abstract: Many leaders in technology education have shown that the main difference between the technical design process and the process of engineering construction analysis and efficiency [1–3]. The engineering analysis phase of the construction process is where the mathematical and scientific models principles are used to help the designer predict the design results. The engineering feasibility phase process is a systematic process that uses structural elements and conditions to allow the …
Published in Trends in Machine design · Vol. 8, Issue 2, 2021 · pp. 1–10 Read article
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Fingerprint Recognition for Crime Scenes Using Deep Learning
Abstract: Crime-scene fingerprint photos are crucial hints for resolving ongoing cases. Using deep machine learning and convolutional neural networks, we provide a comprehensive crime scene fingerprint identification method in this research (CNN). Precision photography and sophisticated physical and chemical processing techniques are used to collect images from crime scenes, which are then kept as databases. It can be challenging to categorize the photographs taken from the crime scene because they are …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 2, 2022 · pp. 13–18 Read article
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Crop Health Monitoring and Weed Detection Using Drone Technology
Abstract: In an agriculture-based economy like ours, farmers and their cultivation play a significant role. With the extension of agriculture to wider fields, manual interference to monitor and detect crop health is becoming more difficult. Unmanned aerial vehicles (UAVs) have become well-known and affordable technology for a variety of precision farm uses in recent years. Combining the capabilities of drone technology and machine learning/deep learning algorithms, we can monitor crop health …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 1, 2023 · pp. 1–8 Read article
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Agri-Crop Intelligent System for Detecting Crop Disease and Recommending Soil Nutrition Value Based on Soil Testing Using Machine Learning
Abstract: This research examines the economic importance of agriculture for nations like India as well as the ways in which innovation might advance agriculture. In order to assist farmers in increasing their production, the application can classify leaf diseases by evaluating provided photos and that will propose compatible crops and fertilisers according to soil characteristics and current meteorological data. The aim of this research is to develop a website that will …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 12–19 Read article
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Machine Learning Based Smart Aquaponics Farming System
Abstract: For many years, researchers have been studying nutrient management in aquaponic systems. Most have concentrated on adequate nutrition control in an aquaponic setup, but there has been relatively little study on commercial scale applications. For plant growth, it is necessary to measure the level of nutrients present in the soil mixture. In our model, the input data was sourced on some interval of time basis from three commercial aquaponic farms. …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 1, 2022 · pp. 30–37 Read article
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Interview Analyser for Remote Interviews
Abstract: The project is ideally based on a web-based format and can also be converted into an application format where it is designed for recruitment purposes. It is developed by using theartificial intelligence which consists of TensorFlow libraries and deep learning modules. This project can ease the work of the human resource department by recruiting the right and suitable candidate required by the company. Interview analyser can handle 3 modules namely …
Published in Journal of Advanced Database Management & Systems · Vol. 8, Issue 1, 2021 · pp. 17–22 Read article
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User Personality: Prediction and Question Answering System
Abstract: Personality refers to the general traits of a person based on his or her psychological and individual characteristics that reflect into a person’s overall nature and behaviour. Among the featured measures of this system are the MBTI (Myers Briggs Personality Type) which divides individual personalities into 16 distinct types across four axes. To predict the personality of an individual to get a hint about the individual, a personality prediction system …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 1, 2023 · pp. 5–17 Read article
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Comparing Algorithm Performance in Machine Learning for Landslide Susceptibility Studies: An Overview
Abstract: Machine learning algorithms have gained popularity over the past years, and with this comes the rise in their efficiencies; this study demonstrated that machine learning algorithms could successfully be used to identify landslide susceptibility areas. Machine learning algorithms like decision trees, support vector machines, K-Means, Hierarchical Clustering, Self-Organizing Maps (SOMs), artificial neural networks, and Bayesian networks have been used in recent studies. This study thus reviews several studies and results …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 71–89 Read article
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Machine Learning Based Approaches for the Detection and Classification of Crop Leaf Diseases
Abstract: Crop leaf diseases pose a significant threat to agricultural productivity worldwide, leading to substantial crop losses and economic consequences. Timely and precise identification and categorization of these diseases are vital for effective disease management and safeguarding crops. Over the past years, machine learning methods have gained prominence due to their potential to automate disease diagnosis and classification procedures. This review paper presents an overview of the various machine learning based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 31–38 Read article
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Artificial Intelligence Based Plant Disease Detection
Abstract: This paper analyses the advanced Neural Network (NN) techniques for hyperspectral data processing, with a particular focus on detecting plant disease. To initiate, we will discuss the NN mechanism, types, models, and classifiers that are used to process the hyperspectral data using different algorithms. Following that, this project discusses the current state of imaging and non-imaging hyperspectral data for early screening and diagnosis of Disease. The NN-hyperspectral hybridization method has …
Published in Recent Trends in Programming languages · Vol. 8, Issue 3, 2021 · pp. 11–24 Read article
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Morphological and Biomass Performance of Indigenous Agroforestry Tree Species Seedlings under Different Provenances at Nursery Level, in Central Ethiopia
Abstract: Multipurpose trees are significantly important for climate change resistance in such a way that they contribute to both climate change adaptation and mitigation. In addition, they have important economic and social benefits for the livelihoods of farmers and also have a considerable effect on the GDP of the country. Therefore, to improve species’ adaptation in specific, site genetics fitness is an important factor. Therefore, the objective of the research was …
Published in Research & Reviews : Journal of Botany · Vol. 11, Issue 3, 2022 · pp. 47–58 Read article
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Ecotourism in Mizoram: Problems and Prospects
Abstract: As in North Eastern India, Mizoram is one of the Seven Sister States listed. On 20 February 1987, it became India's 23rd state. Nestled in the north-eastern part of India at the southern tip, it is a mountainous state. Aizawl is the capital and one of the least-frequented towns in India. There are 10 major national parks and wildlife sanctuaries in the state and it is a hotspot for biodiversity. …
Published in Research & Reviews : Journal of Ecology · Vol. 10, Issue 3, 2021 · pp. 1–5 Read article
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Stibochiona nicea subsp. nicea (Gray, 1846) in Sikkim Himalaya
Abstract: The Sikkim Himalaya is the potential region having good populations of flora and fauna playing valuable roles in ecological aspects. These bioresources are utilized in different purposes and are available in the different altitudinal gradients, and some are endemic and unique. In such biodiversity, there are reports of sighting of new species in the region in several instances. This study contains the information of sighting of Stibochiona nicea (Gray, 1846) …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 12, Issue 2, 2023 · pp. 1–3 Read article
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Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
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Land Use and Land Cover Change: A Comprehensive Review of Environmental Implications
Abstract: Changes in land use and cover have a substantial impact on environmental dynamics and sustainability. These changes arise from various human activities, including urbanization, agriculture, and forestry, and have profound implications for biodiversity, ecosystem services, and land health. As urban areas expand, often at the expense of agricultural and forested landscapes, the transformation of land use alters ecological processes, leading to habitat loss and fragmentation. This article examines the implications …
Published in International Journal of Land · Vol. 1, Issue 2, 2024 · pp. 01–05 Read article
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Trend analysis of Normalized Difference Vegetation Index using Landsat Satellite data: Study from in and Gondar town, North West Ethiopia
Abstract: Abstract This current research study presents the change detection method for the study of Satellite image supported on Normalized Difference Vegetation Index (NDVI). NDVI utilizes the Multi-Spectral remote sensing data method to determine Vegetation Index, land cover classification, vegetation, water bodies, bush land, agricultural area, thick forest and thin forest with few bands grouping of the remote sensed data. Land resources are easily understood by calculating their Normalized Difference Vegetation …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 3, 2019 · pp. 25–33 Read article
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Changes Detection of Land Use/Land Cover Vector Data in Nirmal Mandal, Adilabad District, Telangana State, India
Abstract: AbstractLand use/land cover change detection techniques by using LISS-IV satellite image helps to analyze their topographic features and landscape dynamics. Spatial data of 2005 and 2015 satellite images have been studied for comparison of agricultural, barren, cultivated, built-up and wastelands. These categories, indications results has been increased by, agricultural land (36.8% with an area of 80.3 km2) and 45.7% (99.7 km2), uncultivated land [38.60% (84.2 km2 and 29.70% (64.8 km2)], …
Published in Journal of Geotechnical Engineering · Vol. 5, Issue 1, 2018 · pp. 11–17 Read article
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Anthropogenic Intensification and Emerging Air Pollution Patterns across the Western Himalaya: Multi-Year Spatiotemporal Case Study
Abstract: Anthropogenic intensification is profoundly impacting air quality within vulnerable mountain ecosystems, yet the availability of long-term, high-resolution data from the Western Himalaya is strikingly limited. This study provides a detailed multi-year (2020-2024) spatiotemporal analysis of particulate matter (PM10 and PM2.5), nitrogen oxides (NOₓ), ammonia (NH3), and ozone (O3) concentrations across contrasting anthropogenic settings—specifically, tourist influx zones such as Dharamshala and industrial hotspots like Damtal in Himachal Pradesh, India. Key pollutants …
Published in International Journal of Atmosphere · Vol. 3, Issue 2, 2026 · pp. 7–25 Read article
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Contribution of Humanity to Develop Society and Culture
Abstract: From very old age, when human being lived in the forest, they collected their food and other necessary goods from forest by themselves. Gradually they felt to live together for save themselves from the attack of the danger animals that lived in the forest also. From this time slowly emerged society within themselves. They left cave living, they learnt to make house, began to cultivate. In this way they became …
Published in E-Commerce for Future & Trends · Vol. 2, Issue 1, 2015 · pp. 7–11 Read article
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Soil Erosion Assessment and Its Effect on Sustainability for a Mountainous Watershed using Remote Sensing and GIS
Abstract: Normal 0 false false false EN-US X-NONE AR-SA Normal 0 false false false EN-US X-NONE AR-SA MicrosoftInternetExplorer4 Normal 0 false false false EN-US X-NONE AR-SA MicrosoftInternetExplorer4 Soil erosion is an important social and economic problem, and an essential factor in assessing health and function of ecosystem. Soil-erosion control requires a quantitative evaluation of potential soil erosion on a specific location. The revised universal soil loss equation (RUSLE), remote sensing, and …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 3, 2013 · pp. 68–80 Read article