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  • Open Access

    ARTICLE

    Spatio-Temporal Monitoring and Assessment of Groundwater Quality for Domestic and Agricultural Use in Kurukshetra District, Haryana, India

    Aakash Deep*, Sushil Kumar, Bhagwan Singh Chaudhary

    Revue Internationale de Géomatique, Vol.35, pp. 79-100, 2026, DOI:10.32604/rig.2026.074969 - 05 February 2026

    Abstract The assessment of groundwater quality is crucial for ensuring its safe and sustainable use for domestic and agricultural purposes. The Kurukshetra district in the Indian state of Haryana relies heavily on groundwater to meet household and agricultural needs. Sustainable groundwater management must be assessed in terms of suitability for domestic and agricultural needs in a region. The current study analyzed pre-monsoon geochemical data from groundwater samples in the study area for 1991, 2000, 2010, and 2020. A Geographic Information System (GIS) was used to create spatial distribution maps for hydrogen ion concentration, total hardness, total… More >

  • Open Access

    ARTICLE

    A Multi-Stage Pipeline for Date Fruit Processing: Integrating YOLOv11 Detection, Classification, and Automated Counting

    Ali S. Alzaharani, Abid Iqbal*

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-27, 2026, DOI:10.32604/cmc.2025.070410 - 10 November 2025

    Abstract In this study, an automated multimodal system for detecting, classifying, and dating fruit was developed using a two-stage YOLOv11 pipeline. In the first stage, the YOLOv11 detection model locates individual date fruits in real time by drawing bounding boxes around them. These bounding boxes are subsequently passed to a YOLOv11 classification model, which analyzes cropped images and assigns class labels. An additional counting module automatically tallies the detected fruits, offering a near-instantaneous estimation of quantity. The experimental results suggest high precision and recall for detection, high classification accuracy (across 15 classes), and near-perfect counting in More >

  • Open Access

    ARTICLE

    Experimental and Neural Network Modeling of the Thermal Behavior of an Agricultural Greenhouse Integrated with a Phase Change Material (CaCl2·6H2O)

    Abdelouahab Benseddik1,*, Djamel Daoud1, Ahmed Badji1,2, Hocine Bensaha1, Tarik Hadibi3,5, Yunfeng Wang4, Li Ming4

    Energy Engineering, Vol.122, No.12, pp. 5021-5037, 2025, DOI:10.32604/ee.2025.072991 - 27 November 2025

    Abstract In Saharan climates, greenhouses face extreme diurnal temperature fluctuations that generate thermal stress, reduce crop productivity, and hinder sustainable agricultural practices. Passive thermal storage using Phase Change Materials (PCM) is a promising solution to stabilize microclimatic conditions. This study aims to evaluate experimentally and numerically the effectiveness of PCM integration for moderating greenhouse temperature fluctuations under Saharan climatic conditions. Two identical greenhouse prototypes were constructed in Ghardaïa, Algeria: a reference greenhouse and a PCM-integrated greenhouse using calcium chloride hexahydrate (CaCl2·6H2O). Thermal performance was assessed during a five-day experimental period (7–11 May 2025) under severe ambient conditions.… More > Graphic Abstract

    Experimental and Neural Network Modeling of the Thermal Behavior of an Agricultural Greenhouse Integrated with a Phase Change Material (CaCl<sub><b>2</b></sub>·6H<sub><b>2</b></sub>O)

  • Open Access

    ARTICLE

    An Enhanced Image Classification Model Based on Graph Classification and Superpixel-Derived CNN Features for Agricultural Datasets

    Thi Phuong Thao Nguyen1, Tho Thong Nguyen1, Huu Quynh Nguyen2, Tien Duc Nguyen3, Chu Kien Nguyen1, Nguyen Giap Cu4,*

    CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4899-4920, 2025, DOI:10.32604/cmc.2025.067707 - 23 October 2025

    Abstract Graph-based image classification has emerged as a powerful alternative to traditional convolutional approaches, leveraging the relational structure between image regions to improve accuracy. This paper presents an enhanced graph-based image classification framework that integrates convolutional neural network (CNN) features with graph convolutional network (GCN) learning, leveraging superpixel-based image representations. The proposed framework initiates the process by segmenting input images into significant superpixels, reducing computational complexity while preserving essential spatial structures. A pre-trained CNN backbone extracts both global and local features from these superpixels, capturing critical texture and shape information. These features are structured into a… More >

  • Open Access

    ARTICLE

    AI-Augmented Smart Irrigation System Using IoT and Solar Power for Sustainable Water and Energy Management

    Siwakorn Banluesapy, Mahasak Ketcham*, Montean Rattanasiriwongwut

    Energy Engineering, Vol.122, No.10, pp. 4261-4296, 2025, DOI:10.32604/ee.2025.068422 - 30 September 2025

    Abstract Traditional agricultural irrigation systems waste significant amounts of water and energy due to inefficient scheduling and the absence of real-time monitoring capabilities. This research developed a comprehensive IoT-based smart irrigation control system to optimize water and energy management in agricultural greenhouses while enhancing crop productivity. The system employs a sophisticated four-layer Internet of Things (IoT) architecture based on an ESP32 microcontroller, integrated with multiple environmental sensors, including soil moisture, temperature, humidity, and light intensity sensors, for comprehensive environmental monitoring. The system utilizes the Message Queuing Telemetry Transport (MQTT) communication protocol for reliable data transmission and… More >

  • Open Access

    REVIEW

    Sustainable Biocomposites from Renewable Resources in West Africa: A Review

    Souha Mansour1,2,*, Amandine Viretto1,2, Marie-France Thevenon1,2,*, Loïc Brancheriau1,2

    Journal of Renewable Materials, Vol.13, No.8, pp. 1547-1586, 2025, DOI:10.32604/jrm.2025.02024-0078 - 22 August 2025

    Abstract The use of agricultural residues in biocomposite production has gained increasing attention, driven by several benefits. Converting agricultural by-products into bio-based materials within a circular economy represents a sustainable strategy to mitigate lignocellulosic waste, reduce reliance on fossil resources, and lower environmental pollution. This approach also creates economic opportunities for rural African communities by generating diverse income sources for workers in collection, processing, and manufacturing. As a result, the integration of agricultural residues into biocomposites production not only addresses environmental concerns but also fosters economic growth and supports rural development. In this review, five biomasses… More > Graphic Abstract

    Sustainable Biocomposites from Renewable Resources in West Africa: A Review

  • Open Access

    ARTICLE

    Derivative Free and Dispatch Algorithm-Based Optimization and Power System Assessment of a Biomass-PV-Hydrogen Storage-Grid Hybrid Renewable Microgrid for Agricultural Applications

    Md. Fatin Ishraque1, Akhlaqur Rahman2, Kamil Ahmad1, Sk. A. Shezan3,*, Md. Meheraf Hossain1, Sheikh Rashel Al Ahmed1, Md. Iasir Arafat1, Noor E Nahid Bintu4

    Energy Engineering, Vol.122, No.8, pp. 3347-3375, 2025, DOI:10.32604/ee.2025.067492 - 24 July 2025

    Abstract In this research work, the localized generation from renewable resources and the distribution of energy to agricultural loads, which is a local microgrid concept, have been considered, and its feasibility has been assessed. Two dispatch algorithms, named Cycle Charging and Load Following, are implemented to find the optimal solution (i.e., net cost, operation cost, carbon emission. energy cost, component sizing, etc.) of the hybrid system. The microgrid is also modeled in the DIgSILENT Power Factory platform, and the respective power system responses are then evaluated. The development of dispatch algorithms specifically tailored for agricultural applications… More >

  • Open Access

    REVIEW

    Advances in PGPR-Mediated Plant-Pathogen Control for Food Security and Ecosystem Stability

    Sajid Ali*, Yong-Sun Moon*

    Phyton-International Journal of Experimental Botany, Vol.94, No.5, pp. 1419-1451, 2025, DOI:10.32604/phyton.2025.064284 - 29 May 2025

    Abstract This review focused on the role of plant growth-promoting rhizobacteria (PGPR) in enhancing plant growth and protecting against pathogens, highlighting their mechanisms of action, ecological benefits, and challenges. PGPR mediate plant growth through several mechanisms, including nutrient acquisition, production of antimicrobial compounds and induction of systemic resistance. These mechanisms are critical in improving crop yields, especially under stressful conditions. This review examines the molecular mechanisms of PGPR-mediated plant pathogen control, cellular mechanisms of PGPR in plant pathogen control, ecological and environmental benefits of PGPR application. Despite their potential, PGPR application is limited by environmental variability,… More >

  • Open Access

    REVIEW

    Deashing of Agricultural Residues and Its Impact on Isolated Lignin Properties: A Mini Review

    Eko Budi Santoso1,2, Nur Izyan Wan Azelee3,4, Deded Sarip Nawawi2, Wasrin Syafii2,*, Widya Fatriasari2,5,*

    Journal of Renewable Materials, Vol.13, No.5, pp. 865-884, 2025, DOI:10.32604/jrm.2025.058804 - 20 May 2025

    Abstract The significant amount of ash content in agricultural biomass presents an enormous challenge for efficient conversion processes. In addressing this issue, various deashing treatments have been tested and established, including simple leaching techniques, which can either be performed with or without the addition of chemical agents. These techniques hold promise for improving the deashing efficiency while potentially altering the structural and chemical composition of biomass, specifically lignin content, which is the key focus of this review. This review starts by exploring the presence of ash in agricultural residues and its impact on biomass properties. Next,… More > Graphic Abstract

    Deashing of Agricultural Residues and Its Impact on Isolated Lignin Properties: A Mini Review

  • Open Access

    ARTICLE

    Enhancement of Mechanical Properties of Natural Rubber Filled Activated Carbon Materials from Agricultural Waste

    Pollawat Charoeythornkhajhornchai, Piyamas Saehia, Thidaporn Butchan, Nawapol Lertumpai, Worawut Muangrat*

    Journal of Renewable Materials, Vol.13, No.4, pp. 817-827, 2025, DOI:10.32604/jrm.2025.02024-0017 - 21 April 2025

    Abstract Herein, cure characteristics, morphology, and mechanical properties of natural rubber filled with activated carbon-based materials were investigated. Carbon-based materials were prepared from bagasse, coffee grounds and pineapple crowns by the pyrolysis method at temperatures in the range of 300°C. As-synthesized carbon materials were characterized by optical microscopy (OM), scanning electron microscopy (SEM), and Fourier-transform infrared spectroscopy (FTIR) to analyze size distribution, morphology, and functional groups, respectively. OM and SEM analysis revealed that particles, flakes, and a small quantity of fiber-like carbon were obtained using bagasse and pineapple crown as raw materials, while honeycomb-like carbon materials… More > Graphic Abstract

    Enhancement of Mechanical Properties of Natural Rubber Filled Activated Carbon Materials from Agricultural Waste

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