The Role of Generative Artificial Intelligence in Digital Agri-Food

Journal of Agriculture and Food Research, Journal Year: 2025, Volume and Issue: unknown, P. 101787 - 101787

Published: March 1, 2025

Language: Английский

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Oil spills and the ripple effect: exploring climate and environmental impacts through a deep learning lens

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 279 - 289

Published: Jan. 1, 2025

Language: Английский

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The potential timber industry of Jammu and Kashmir: special reference to the willow cricket bat segment

International Wood Products Journal, Journal Year: 2025, Volume and Issue: unknown

Published: March 25, 2025

The region of Jammu and Kashmir (J&K) lies at a unique combination the geographic coordinates. is located an intersection number international borders making it sensitive zone politically, mostly hilly land-locked adding economic limitedness to its already fragile nature mountainous ecosystem makes local environment delicate. cumulative effect these exogenous factors has been realised in laggard development J&K. While rest country, industrialisation back process, outcomes industrial activities J&K have limited. As such, there general realisation that generalised can’t be implemented practised. Instead, needs charted-out targeted suites geography, climate indigenous natural resource availability. In light realisations, present study attempt validate feasibility wood industry willow with special reference cricket bats particular. Through detailed analysis economy, concludes by prescribing some timely policy measures targeting

Language: Английский

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Exploring an Ensemble Classifier Approach for Predicting Crop Yields in India Using Climate Variability Data

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 188 - 199

Published: Jan. 1, 2025

Language: Английский

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Least square-support vector machine based brain tumor classification system with multi model texture features

Frontiers in Applied Mathematics and Statistics, Journal Year: 2023, Volume and Issue: 9

Published: Dec. 6, 2023

Radiologists confront formidable challenges when confronted with the intricate task of classifying brain tumors through analysis MRI images. Our forthcoming manuscript introduces an innovative and highly effective methodology that capitalizes on capabilities Least Squares Support Vector Machines (LS-SVM) in tandem rich insights drawn from Multi-Scale Morphological Texture Features (MMTF) extracted T1-weighted MR underwent meticulous evaluation a substantial dataset encompassing 139 cases, consisting 119 cases aberrant 20 normal The outcomes we achieved are nothing short extraordinary. LS-SVM-based approach vastly outperforms competing classifiers, demonstrating its dominance exceptional accuracy rate 98.97%. This represents 3.97% improvement over alternative methods, accompanied by notable 2.48% enhancement Sensitivity 10% increase Specificity. These results conclusively surpass performance traditional classifiers such as (SVM), Radial Basis Function (RBF), Artificial Neural Networks (ANN) terms classification accuracy. outstanding our model realm tumor diagnosis signifies leap forward field, holding promise delivering more precise dependable tools for radiologists healthcare professionals their pivotal role identifying using imaging techniques.

Language: Английский

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Using Ensemble Learning and Advanced Data Mining Techniques to Improve the Diagnosis of Chronic Kidney Disease

International Journal of Advanced Computer Science and Applications, Journal Year: 2023, Volume and Issue: 14(10)

Published: Jan. 1, 2023

Kidney failure is a condition with far-reaching, potentially life-threatening consequences on the human body. Leveraging power of machine learning and data mining, this research focuses precise disease prediction to equip decision-makers critical data-driven insights. The accuracy classification systems hinges dataset's inherent characteristics, prompting application feature selection techniques streamline algorithm models optimize precision. Various methodologies, including K-Nearest Neighbor, J48, Artificial Neural Network (ANN), Naive Bayes, Support Vector Machine, are employed detect chronic renal disease. A predictive framework devised, blending ensemble methods strategies forecast kidney Specifically, model for meticulously constructed through fusion an information gain-based evaluator ranker search mechanism, fortified by wrapper subset best first algorithm. in tandem Info Gain Attribute Evaluator system, exhibits remarkable rate 97.77%. coupled Wrapper Subset highly effective Best First strategy, yields results at 97.78%. Similarly, Bayes model, when integrated (WSE) engine, demonstrates exceptional performance, achieving 97%. Furthermore, Machine achieves notable 97.12% utilizing Evaluator. Neighbor Classifier, conjunction Evaluator, emerges as most accurate among foundational classifiers, boasting impressive 98%. second introduced, incorporating five diverse classifiers operating voting mechanism form model. Investigative findings highlight efficacy proposed which attains precision 98.85%, compared individual base classifiers. This underscores potential combining significantly enhance prediction.

Language: Английский

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Development of an Agent-Based Model to Evaluate Rural Public Policies in Medellín, Colombia

Sustainability, Journal Year: 2024, Volume and Issue: 16(18), P. 8185 - 8185

Published: Sept. 20, 2024

Rural areas near large cities do not satisfy the food needs of city’s population. In Medellín, Colombia, these only 2% needs, highlighting an urgent need to review and improve policies supporting agriculture. This study was conducted over a ten-year period since release Medellín policy related land use. The model uses agent-based modelling, geographic analysis dichotomous variables, combining structures create decision-making element thus identify changes examine in relation current use detect properties with potential for conversion agricultural By evaluating post-processed layers, rural environments is prioritized, setting up clusters homogeneous zones finding new influence. implications this extend beyond offering that can be applied other regions facing similar challenges productivity research supports informed effective policy, contributing improved security sustainable development. results show some are susceptible provide framework revision local regulations, serving as support tool public by giving administration key factors update policies. findings relevant stakeholders, including policymakers landowners, suggesting several promoting agriculture Also, approach promotes efficient agriculture, importance modelling planning evaluation.

Language: Английский

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Comparative livelihood vulnerability assessment of villages to climate change in high-altitude cold desert, Ladakh, India

Environment Development and Sustainability, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 2, 2023

Language: Английский

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Intelligent Orchard monitoring: IoT integrated Fuzzy Logic based real-time apple disease prediction encompassing environmental factors

Journal of Integrated Science and Technology, Journal Year: 2024, Volume and Issue: 12(4)

Published: Feb. 8, 2024

This work presents a novel methodology for apple disease detection based on environmental factors, integrating the capabilities of Internet Things (IoT). Advanced sensors are placed in orchards to continuously monitor various factors such as temperature, humidity, pressure, and light. The data gathered from these is analyzed using Mamdani fuzzy inference system (MFIS) predict possible diseases. use advanced sensors, cloud storage, proved effective timely along with inclusion factors. According predicted outcomes, recommendation also presented mobile application. Initial experiments Shimla, India, showed that this efficient, minimal delays different stages. study compares new approach current methods detection. URN:NBN:sciencein.jist.2024.v12.795

Language: Английский

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Simulating Climatic Patterns and Their Impacts on the Food Security Stability System in Jammu, Kashmir and Adjoining Regions, India

Climate, Journal Year: 2024, Volume and Issue: 12(7), P. 99 - 99

Published: July 7, 2024

This study investigated the historical climate data and future projections under SSP5-8.5 scenario for Jammu, Kashmir (J&K), its adjoining regions in India. Agriculture is a critical economic pillar of this region, making it highly vulnerable to change. focused on temperature precipitation trends. Statistical analysis modeling methods, including cloud computing, were employed predict changes assess their impact agricultural productivity water resources. The results indicated that by 2100, mean maximum minimum temperatures are projected increase approximately 2.90 °C 2.86 °C, respectively. Precipitation variability expected rise, with 2.64 × 10−6 mm per day. These have significant consequences crop yield, stress, ecosystem dynamics. An Gross Primary Productivity (GPP) as proxy using linear regression revealed concerning trend. Although total GPP area remained stable over time, declined −570 g yr−1 2010, coinciding 1 rise. Projections based 3 2100 suggest loss −2500 yr−1. findings highlight urgent need proactive adaptation measures, sustainable practices, improved management, enhanced socioeconomic infrastructure, mitigate change ensure long-term resilience food security region.

Language: Английский

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