📄 agriculture

Proximate Composition, Mineral and Phytochemical Characterization of Mangifera Indica Leaves

This study scientifically validates the traditional medicinal use of *Mangifera indica* (mango) leaves by characterizing their rich nutritional profile, including high protein and carbohydrate content, elevated mineral levels, and diverse bioactive phytochemicals, thereby supporting their potential application in functional foods and nutraceutical formulations for managing metabolic disorders.

Remi Victor-Osanyinlusi, Eneji Ademoh Sanni2026-06-30
📄 agriculture

Hyperspectral Imaging-Based Adulteration Detection of Edible Oil using Optimized Machine Learning Models

This study demonstrates that integrating hyperspectral imaging with optimized machine learning models, particularly XGBoost, provides a highly accurate, rapid, and non-destructive method for detecting adulteration in various edible oils, offering a promising solution for industrial food safety and quality control.

Muhammad Aqeel, Muhammad Iqbal, Areesha Gull, Khan Bahadar Khan, Yiming Deng2026-06-30
📄 agriculture

Development of Starch–Alginate–PVA Hydrogel Beads for Encapsulation and Sustained Delivery of Trichoderma longibrachiatum in Capsicum annuum

This study demonstrates that biodegradable starch–alginate–PVA hydrogel beads effectively encapsulate *Trichoderma longibrachiatum* for sustained soil release, significantly enhancing its viability, antioxidant defense mechanisms, and growth-promoting effects in *Capsicum annuum*.

Bandana Padhan, Parswati Sen, Kartik Charan Lenka, Joyjyoti Das2026-06-30
📄 agriculture

Informed Questioning on NOVA and Nutri-Score Interpretation in Augmented Virtuality Sensory Evaluation

This study demonstrates that while providing NOVA and Nutri-Score information significantly influenced consumers' perceived healthiness and willingness to consume various potato products in an augmented virtuality setting, it did not alter their preference ratings or create a significant interaction between product type and information condition.

Chengfang Tao, Aznor Qistina Mastura Azri, Abdul Hannan Zulkarnain, Balázs Boncsarovszki, Attila Gere2026-06-30
📄 agriculture

Development and rheological characterization of a functional vegan mayonnaise enriched with fermented grape pomace powder and grape seed oil

This study demonstrates that a functional vegan mayonnaise enriched with 0.25% fermented grape pomace powder and formulated with sunflower oil achieves rheological and textural properties comparable to commercial full-fat mayonnaise, whereas the use of grape seed oil results in a weaker emulsion structure, highlighting the critical influence of oil type on the stability of waste-repurposed functional food products.

Amir Hosseinvand, Elena G Kovaleva2026-06-30
📄 agriculture

Techno-economic assessment of pilot-scale nanocellulose production from pineapple peel residues in Costa Rica

This study demonstrates that a pilot-scale, chlorine-free process for converting Costa Rican pineapple peel residues into nanocellulose is both technically feasible and economically highly promising, yielding a 199.4% internal rate of return and a 19.5-month payback period for a plant targeting the European market.

Mauricio Rojas-Álvarez, Felipe Orozco, Bárbara Cristina Miranda-Morales, Roberto Coto Rojas, José Roberto Vega-Baudrit2026-06-30
📄 agriculture

A Hybrid Data Analytics Framework Integrating Machine Learning and Graph-Based Knowledge Models for Explainable Soil Organic Carbon Assessment

This paper proposes and evaluates a hybrid data analytics framework that integrates Random Forest prediction models with graph-based knowledge systems to enhance the accuracy, spatial contextualization, and interpretability of soil organic carbon assessments in agroforestry systems, as demonstrated through a case study in Mexico.

Emmanuel Papadakis, Gulger Mallik, Ahmed Aman Ibrahim, George Baryannis, Andreas Altinalmazis-Kondylis2026-06-29
📄 agriculture

Evaluation of artificial inoculation methods for phenotyping of bacterial spot disease in almond

This study evaluates five artificial inoculation methods and four disease severity assessment techniques for bacterial spot in almond, identifying needleless syringe, spray, and attached-shoot inoculation combined with percentage leaf area diseased scoring as the most effective approach for phenotyping resistance across different environmental conditions.

Virajinee N.D. Bulathsinhalage, Eileen S. Scott, Diane E. Mather, Sam Rogers, Cassandra Collins2026-06-29
📄 agriculture

Agroecosystem-Driven Rhizoplane Bacteriome Assembly in Cassava Uncovers Bacillus-Mediated Suppression of Stem and Root Rot

This study reveals that cassava stem and root rot disrupts the rhizoplane bacteriome by depleting beneficial taxa, and identifies native *Bacillus* strains as effective, eco-friendly biocontrol agents that suppress the pathogen *Fusarium falciforme* and enhance plant growth.

Divya Santha, Tusar Kanti Bag, Makeshkumar Thangaraj, Jeeva Muthulekshmi Lajapathi, Binoy Ambika Manirajan, Vinod Chouha (…)2026-06-29