Genetic divergence of guava (Psidium guajava L.) genotypes in Bangladesh

Barua, H; Saha, Sumon; Ivy, Nasrin Akter; Rasul, Golam; Islam, Akm Aminul

doi:10.3329/sja.v20i1.60618

Cited by 5 publications

(3 citation statements)

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“…Guava is rich in essential nutrients such as Vitamin C, Calcium, Iron, Nicotinic Acid, Vitamin B6, Magnesium, and Phosphorus, and is notably free of cholesterol. The fruit is known for its beneficial effects on various health conditions including diarrhoea, dysentery, blood pressure, diabetes, and immune system support [1,2]. Bangladesh is recognised as one of the largest guavaproducing countries globally, with extensive cultivation covering approximately 0.3 million hectares and yielding around 3.7 million metric tons annually [2].…”

Section: Introductionmentioning

confidence: 99%

“…The fruit is known for its beneficial effects on various health conditions including diarrhoea, dysentery, blood pressure, diabetes, and immune system support [1,2]. Bangladesh is recognised as one of the largest guavaproducing countries globally, with extensive cultivation covering approximately 0.3 million hectares and yielding around 3.7 million metric tons annually [2]. The guava plant is highly adaptable to diverse climates and soil conditions, making it commercially significant in both subtropical and tropical regions.…”

Section: Introductionmentioning

confidence: 99%

“…Bangladesh has been ranked 10th in tropical fruit production and 8th in guava fruit production worldwide, as reported by the Food and Agricultural Organisation (FAO) [7]. Due to the presence of various guava plant varieties and diverse environmental factors, such as tropical, subtropical, and non-tropical regions [2], guava leaf diseases differ across different regions, making their detection challenging and sensitive. Detecting various guava leaf diseases, such as pest attacks, canker, nutrient deficiency, dot, wilt diseases, mummification, white fungus, and anthracnose, presents a challenging undertaking [3].…”

Section: Introductionmentioning

confidence: 99%

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GLD-Det: Guava Leaf Disease Detection in Real-Time Using Lightweight Deep Learning Approach Based on MobileNet

Mustak Un Nobi,

Rifat,

Mridha

et al. 2023

Agronomy

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The guava plant is widely cultivated in various regions of the Sub-Continent and Asian countries, including Bangladesh, due to its adaptability to different soil conditions and climate environments. The fruit plays a crucial role in providing food security and nutrition for the human body. However, guava plants are susceptible to various infectious leaf diseases, leading to significant crop losses. To address this issue, several heavyweight deep learning models have been developed in precision agriculture. This research proposes a transfer learning-based model named GLD-Det, which is designed to be both lightweight and robust, enabling real-time detection of guava leaf disease using two benchmark datasets. GLD-Det is a modified version of MobileNet, featuring additional components with two pooling layers such as max and global average, three batch normalisation layers, three dropout layers, ReLU as an activation function with four dense layers, and SoftMax as a classification layer with the last lighter dense layer. The proposed GLD-Det model outperforms all existing models with impressive accuracy, precision, recall, and AUC score with values of 0.98, 0.98, 0.97, and 0.99 on one dataset, and with values of 0.97, 0.97, 0.96, and 0.99 for the other dataset, respectively. Furthermore, to enhance trust and transparency, the proposed model has been explained using the Grad-CAM technique, a class-discriminative localisation approach.

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Section: Introductionmentioning

confidence: 99%