AIMC Topic: Fruit

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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...
Algorithms Fruit Flowers Pollination Animals Agriculture
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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 Nuts Fruit Humans 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...
Humans Machine Learning Vegetables Plasticizers Food Packaging Plastics Kinetics Fruit
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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 ...
Agriculture Indonesia Deep Learning Smartphone Arecaceae Fruit Video Recording
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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...
Tannins Microwaves Machine Learning Phenols Antioxidants Pomegranate Plant Extracts Fruit
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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...
Ammonia Food Quality Photoacoustic Techniques Ethylenes Fruit Spectrum Analysis Image Processing, Computer-Assisted Ethanol Artificial Intelligence
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Rapid and quantitative detection of Botryosphaeria dothidea by surface-enhanced Raman spectroscopy with size-controlled spherical metal nanoparticles combined with machine learning.

International journal of food microbiology May 30, 2025
Botryosphaeria dothidea infection has become a major factor affecting the quality of postharvest fruits, so detection of B. dothidea infection is very important to control the spread of infection and ensure food safety. In this study, we built a moni...
Food Contamination Particle Size Food Microbiology Metal Nanoparticles Machine Learning Spectrum Analysis, Raman Ascomycota Fruit Plant Diseases
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Unleashing the power of AI in predicting the technological and phenolic maturity of pomegranates cultivated in Lebanon.

Scientific reports May 30, 2025
The harvesting time of pomegranates is crucial for maximizing their health benefits and market value. However, traditional methods often fail to consider the intricate interactions between environmental conditions and fruit maturity. This study is th...
Phenols Fruit Machine Learning Lebanon Food Quality
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Sweet pepper yield modeling via deep learning and selection of superior genotypes using GBLUP and MGIDI.

Scientific reports Apr 27, 2025
Intelligent knowledge about Capsicum annuum L. germplasm could lead to effective management of germplasm. Here, 29 accessions of sweet pepper were investigated in two separate randomized complete block design with three replications in the field cond...
Fruit Capsicum Plant Breeding Neural Networks, Computer Genotype Deep Learning Models, Genetic
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SmartBerry for AI-based growth stage classification and precision nutrition management in strawberry cultivation.

Scientific reports Apr 23, 2025
Agriculture is vital for human sustenance and economic stability, with increasing global food demand necessitating innovative practices. Traditional farming methods have caused significant environmental damage, highlighting the need for sustainable p...
Artificial Intelligence Fragaria Agriculture Fruit
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