AIMC Topic: Fruit

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DBA-ViNet: an effective deep learning framework for fruit disease detection and classification using explainable AI.

BMC plant biology Jul 28, 2025
OBJECTIVE: The primary aim of this research is to develop an effective and robust model for identifying and classifying diseases in general fruits, particularly apples, guavas, mangoes, pomegranates, and oranges, utilizing computer vision techniques.
Fruit Plant Diseases Malus Neural Networks, Computer Deep Learning
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Integrating Non-Targeted Mass Spectrometry and Machine Learning for the Classification of Organic and Conventionally Grown Agricultural Products: A Case Study on Tomatoes.

Journal of agricultural and food chemistry Jul 24, 2025
Rising demand for organic agricultural products has made the verification of their authenticity a critical concern. Traditional classification approaches for mass spectrometry using full-scan high-resolution mass spectrometry data often emphasize fea...
Fruit Food, Organic Organic Agriculture Mass Spectrometry Solanum lycopersicum Machine Learning
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Inversion and validation of soil water-holding capacity in a wild fruit forest, using hyperspectral technology combined with machine learning.

Scientific reports Jul 19, 2025
Soil water retention is a critical aspect of water conservation. To quantitatively assess the Soil Water-Holding Capacity (SWHC), this study focused on a typical wild fruit forest in Xinjiang, China. The spectral characteristics of the forest canopy ...
Water Forests Fruit Trees Soil Machine Learning China Algorithms
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Color Dynamics, Pigments and Antioxidant Capacity in Pouteria sapota Puree During Frozen Storage: A Correlation Study Using CIELAB Color Space and Machine Learning Models.

Plant foods for human nutrition (Dordrecht, Netherlands) Jul 15, 2025
The accurate prediction of bioactive compounds and antioxidant activity in food matrices is critical for optimizing nutritional quality and industrial applications. This study compares the performance of multiple linear regression (MLR) and artificia...
Anthocyanins Fruit Antioxidants Color Carotenoids Food Storage Pigments, Biological Linear Models Freezing Neural Networks, Computer Machine Learning
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Optimizing drone-based pollination method by using efficient target detection and path planning for complex durian orchards.

Scientific reports Jul 1, 2025
Durian is a valuable tropical fruit whose pollination heavily relies on bats and nocturnal insects. However, environmental degradation and pesticide usage have reduced insect populations, leading to inefficient natural pollination. This study propose...
Fruit Flowers Pollination Animals Agriculture Algorithms
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A deep learning based approach for classifying the maturity of cashew apples.

PloS one Jun 25, 2025
Over 95% of cashew apples are left to waste and rot on the ground. However, both cashew nuts and the often overlooked cashew apples possess significant nutritional and economic value. The cashew apple constitutes the major part (90%) of the cashew fr...
Anacardium Humans Nuts Fruit Deep Learning
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Unveiling Hidden Health Risks: Machine Learning Enhanced Modeling of Plastic Additive Release Kinetics in Fresh Produce Packaging.

Environmental science & technology Jun 10, 2025
Fresh produce packaging (FPP) plays a critical role in protecting fruits and vegetables from various environmental factors. However, the presence, migration, and human health risks of additives in FPP have received limited attention. This study inves...
Machine Learning Food Packaging Humans Plasticizers Fruit Plastics Vegetables Kinetics
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Oil Palm Fruits Dataset in Plantations for Harvest Estimation Using Digital Census and Smartphone.

Scientific data Jun 10, 2025
This article presents a dataset of oil palm Fresh Fruit Bunches (FFBs) images from commercial plantations in Central Kalimantan, Indonesia, focusing on five maturity stages: Unripe, Underripe, Ripe, Flower, and Abnormal. The data collection involved ...
Video Recording Arecaceae Indonesia Fruit Smartphone Agriculture Deep Learning
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Machine learning optimization of microwave-assisted extraction of phenolics and tannins from pomegranate peel.

Scientific reports Jun 3, 2025
The peel of pomegranate (Punica granatum) is rich in bioactive compounds, specifically phenolic compounds and tannin compounds. However, there is still a lot of difficulty dealing with the extraction of these substances due to the limitations of trad...
Pomegranate Fruit Machine Learning Plant Extracts Tannins Microwaves Antioxidants Phenols
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A Synergistic Approach Using Photoacoustic Spectroscopy and AI-Based Image Analysis for Post-Harvest Quality Assessment of Conference Pears.

Molecules (Basel, Switzerland) Jun 1, 2025
This study presents a non-invasive approach to monitoring post-harvest fruit quality by applying CO laser photoacoustic spectroscopy (COLPAS) to study the respiration of "Conference" pears from local and commercially stored (supermarket) sources. Con...
Artificial Intelligence Photoacoustic Techniques Ammonia Image Processing, Computer-Assisted Ethylenes Fruit Food Quality Ethanol Spectrum Analysis
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