AIMC Topic: Mangifera

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Dual-modality fusion for mango disease classification using dynamic attention based ensemble of leaf & fruit images.

Scientific reports
Mango is one of the most beloved fruits and plays an indispensable role in the agricultural economies of many tropical countries like Pakistan, India, and other Southeast Asian countries. Similar to other fruits, mango cultivation is also threatened ...

Novel transfer learning approach for detecting mango fruit type and quality assessment.

Scientific reports
Mango a widely consumed tropical fruit globally, showcases an extensive array of varieties distinguished by their distinct flavours, textures and appearances. The precise classification and assessment of mango varieties play a pivotal role in ensurin...

Multidimensional component quantitative analysis: Exploring commercial mango cultivars in China.

Food chemistry
Different mango cultivars exhibit distinct characteristics in food quality and nutraceutical value, influencing both market potential and consumer preference. We hypothesized that genotype-driven variation in metabolites underpins these quality diffe...

Deep learning model BiFPN-YOLOv8m for tree counting in mango orchards using satellite remote sensing data​.

Scientific reports
Mango is a fruit of great economic importance in India. India is the top mango-producing nation in the world, accounting for over half of global mango output. In order to determine the production capability of the insured orchards, a complete invento...

Unlocking the power of L1 regularization: A novel approach to taming overfitting in CNN for image classification.

PloS one
Convolutional Neural Networks (CNNs) stand as indispensable tools in deep learning, capable of autonomously extracting crucial features from diverse data types. However, the intricacies of CNN architectures can present challenges such as overfitting ...

TTI and pH-responsive dual colorimetric sensor arrays combined with a cascaded deep learning approach for dynamic monitoring of freshness of fresh-cut fruits.

Food chemistry
Dynamic shelf-life monitoring of fresh-cut fruits faces challenges from temperature fluctuations and packaging failures in cold chains, causing discrepancies between theoretical predictions and actual spoilage. This study developed a dual colorimetri...

Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry crops.

PloS one
Using chemical laboratory procedures to estimate the fruit quality parameters (biochemical parameters) of mango "Succarri" and strawberry "Florida" as indicators of ripening degrees in a large area presents challenges such as low throughput, labor in...

Advancing mango leaf variant identification with a robust multi-layer perceptron model.

Scientific reports
Mango, often regarded as the "king of fruits," holds a significant position in Bangladesh's agricultural landscape due to its popularity among the general population. However, identifying different types of mangoes, especially from mango leaves, pose...

Developing Machine Vision in Tree-Fruit Applications-Fruit Count, Fruit Size and Branch Avoidance in Automated Harvesting.

Sensors (Basel, Switzerland)
Recent developments in affordable depth imaging hardware and the use of 2D Convolutional Neural Networks (CNN) in object detection and segmentation have accelerated the adoption of machine vision in a range of applications, with mainstream models oft...

Novel artificial intelligence assisted Landsat-8 imagery analysis for mango orchard detection and area mapping.

PloS one
The mango fruit plays a crucial role in providing essential nutrients to the human body and Pakistani mangoes are highly coveted worldwide. The escalating demand for agricultural products necessitates enhanced methods for monitoring and managing agri...