Tesfaye Adisu Tarekegn^1,*, Taye Girma Debelee^1,2

Journal on Artificial Intelligence, Vol.7, pp. 585-613, 2025, DOI:10.32604/jai.2025.067333 - 01 December 2025

Abstract The identification of defect types and their reduction values is the most crucial step in coffee grading. In Ethiopia, the current coffee defect investigation techniques rely on manual screening, which requires substantial human resources, time-consuming, and prone to errors. Recently, the deep learning driven object detection has shown promising results in coffee defect identification and grading tasks. In this study, we propose KN-YOLOv8, a modified You Only Look Once version-8 (YOLOv8) model optimized for real-time detection of coffee bean defects. This lightweight network incorporates effective feature fusion techniques to accurately detect and locate defects, even… More >

Nameer Baht^1,*, Enrique Domínguez^1,2,*

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4441-4455, 2025, DOI:10.32604/cmc.2025.069528 - 23 October 2025

Abstract Coffee is an important agricultural commodity, and its production is threatened by various diseases. It is also a source of concern for coffee-exporting countries, which is causing them to rethink their strategies for the future. Maintaining crop production requires early diagnosis. Notably, Coffee Leaf Miner (CLM) Machine learning (ML) offers promising tools for automated disease detection. Early detection of CLM is crucial for minimising yield losses. However, this study explores the effectiveness of using Convolutional Neural Networks (CNNs) with transfer learning algorithms ResNet50, DenseNet121, MobileNet, Inception, and hybrid VGG19 for classifying coffee leaf images as… More >

Anton Louise P. De Ocampo^*

Revue Internationale de Géomatique, Vol.34, pp. 731-749, 2025, DOI:10.32604/rig.2025.066185 - 10 October 2025

Abstract The effects of climate change are becoming more evident nowadays, and the environmental stress imposed on crops has become more severe. Farmers around the globe continually seek ways to gain insights into crop health and provide mitigation as early as possible. Phenotyping is a non-destructive method for assessing crop responses to environmental stresses and can be performed using airborne systems. Unmanned Aerial Systems (UAS) have significantly contributed to high-throughput phenotyping and made the process rapid, efficient, and non-invasive for collecting large-scale agronomic data. Because of the high complexity and cost of specialized equipment used in… More >

Ahmed Mahmoud Ismail^1,2,*, Khalid Alhudaib¹, Donato Magistà^3,4

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 679-693, 2025, DOI:10.32604/phyton.2025.062196 - 31 March 2025

Abstract Coffee wilt represents one of the most devastating diseases of Arabica coffee (Coffea arabica L.) plantations in the primary coffee-producing regions. In this study, coffee trees manifesting wilt symptoms accompanied by the defoliation and drying of the whole tree were observed in the Jazan, El Baha, Najran, and Asir regions. The purpose of this investigation was to isolate and identify the Fusarium species recovered from symptomatic coffee trees. The developed fungi were initially characterized based on their morphological features followed by molecular phylogenetic multi-locus analysis of the combined sequences of ITS, TEF1-α, RPB2, and CaM. Twenty-five isolates… More >

Alexis Salazar-Navarro¹, Victor Ruiz-Valdiviezo², Jose Joya-Dávila³, Daniel Gonzalez-Mendoza^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.5, pp. 923-949, 2024, DOI:10.32604/phyton.2024.049612 - 28 May 2024

Abstract Coffee Leaf Rust (CLR) is caused by Hemileia vastatrix in Coffea spp. It is one of the most dangerous phytopathogens for coffee plantations in terms of coffee productivity and coffee cup quality. In this review, we resume the problem of CLR in Mexico and the pathogenesis of H. vastatrix. The review abord plant-pathogen interactions which lead a compatible or incompatible interactions and result in CLR disease or resistance, respectively. The review abord Coffea spp. defense response pathways involved in H. vastatrix pathogenicity. Additionally, current measures to control H. vastatrix proliferation and germination were aborded focused on phytosanitary actions, and biological More >

Raveena Selvanarayanan¹, Surendran Rajendran^1,*, Youseef Alotaibi²

CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 759-782, 2024, DOI:10.32604/cmes.2023.044084 - 30 December 2023

Abstract Colletotrichum kahawae (Coffee Berry Disease) spreads through spores that can be carried by wind, rain, and insects affecting coffee plantations, and causes 80% yield losses and poor-quality coffee beans. The deadly disease is hard to control because wind, rain, and insects carry spores. Colombian researchers utilized a deep learning system to identify CBD in coffee cherries at three growth stages and classify photographs of infected and uninfected cherries with 93% accuracy using a random forest method. If the dataset is too small and noisy, the algorithm may not learn data patterns and generate accurate predictions.… More >

Jhonn Pablo Rodríguez^1,*, David Camilo Corrales^1,2, David Griol³, Zoraida Callejas³, Juan Carlos Corrales¹

CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4725-4743, 2022, DOI:10.32604/cmc.2022.019135 - 11 October 2021

Abstract Coffee plays a key role in the generation of rural employment in Colombia. More than 785,000 workers are directly employed in this activity, which represents the 26% of all jobs in the agricultural sector. Colombian coffee growers estimate the production of cherry coffee with the main aim of planning the required activities, and resources (number of workers, required infrastructures), anticipating negotiations, estimating, price, and foreseeing losses of coffee production in a specific territory. These important processes can be affected by several factors that are not easy to predict (e.g., weather variability, diseases, or plagues.). In… More >

Eliana Arias-Pérez¹, Carlos Alberto Lecona-Guzmán¹, Federico Antonio Gutiérrez-Miceli¹, Joaquín Adolfo Montes-Molina¹, Nancy Ruiz-Lau^1,2,*

Phyton-International Journal of Experimental Botany, Vol.90, No.6, pp. 1741-1748, 2021, DOI:10.32604/phyton.2021.016004 - 28 June 2021

Abstract The present study aimed to develop a protocol for somatic embryogenesis and encapsulation of coffee embryos (Coffea arabica L.), for the conservation of genotypes with characteristics of commercial interest. Somatic embryos were induced from leaf explants in Murashige and Skoog medium (MS) supplemented with 1 mg · L⁻¹ of 2,4-dichlorophenoxiacetic acid (2,4-D) combined with 2 mg · L⁻¹ of benzyladenine (BA). Somatic embryos (SE) at the globular stage were encapsulated in a sodium alginate matrix; two treatments were tested: MS + 5 mg · L⁻¹ BA + 1 mg · L⁻¹ NAA + 3% (w/v) alginate, and MS + 7 mg · L⁻¹ BA + 5.7 mg · L⁻¹ indoleacetic acid (IAA) + 3% (w/v) alginate. Alginate More >

Brody A. Frost, E. Johan Foster^*

Journal of Renewable Materials, Vol.8, No.2, pp. 187-203, 2020, DOI:10.32604/jrm.2020.07940 - 01 February 2020

Abstract As the world's population exponentially grows, so does the need for the production of food, with cereal production growing annually from an estimated 1.0 billion to 2.5 billion tons within the last few decades. This rapid growth in food production results in an ever increasing amount of agricultural wastes, of which already occupies nearly 50% of the total landfill area. For example, is the billions of dry tons of cellulose-containing spent coffee grounds disposed in landfills annually. This paper seeks to provide a method for isolating cellulose nanocrystals (CNCs) from spent coffee grounds, in order… More >

Ja-Ryong Koo¹, Hye Min Park¹, Se Kyung Kim², Hyun Shik Yun^1,*

Journal of Renewable Materials, Vol.7, No.4, pp. 365-372, 2019, DOI:10.32604/jrm.2019.04170

Abstract Lactic acid is an important organic acid that is widely used in the food, pharmaceutical, and cosmetic industries. Lactic acid was produced from coffee ground waste which contains fermentable sugars and is increasingly generated from our daily dietary life. Among 114 strains of Lactobacillus species, Lactobacillus rhamnosus ATCC 10863 was selected for the production of lactic acid from coffee ground waste. Through alkali pretreatment and saccharification, cellulose and hemicellulose in coffee ground waste were converted into fermentable sugars. Pretreatment experiments were conducted at various alkali solution, concentrations, and times. Alkali pretreatment with 35 g/L… More >