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16+ results
Field: Date Palm Research Studies

Identification and recognition of rice diseases and pests using convolutional neural networks

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Chowdhury Rafeed Rahman, Preetom S. Arko, Mohammed Eunus Ali, Mohammad Ashik Iqbal Khan et al.

Journal: Biosystems Engineering
Year: 2020
Citations: 542

Accurate and timely detection of diseases and pests in rice plants can help farmers in applying timely treatment on the plants and thereby can reduce the economic losses substantially. Recent developments in deep learning-based convolutional neural networks (CNN) have greatly improved image classifi...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Comparison of CNN-based deep learning architectures for rice diseases classification

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Md Taimur Ahad, Yan Li, Bo Song, Touhid Bhuiyan

Journal: Artificial Intelligence in AgricultureYear: 2023Citations: 202

Although convolutional neural network (CNN) paradigms have expanded to transfer learning and ensemble models from original individual CNN architectures, few studies have focused on the performance comparison of the applicability of these techniques in detecting and localizing rice diseases. Moreover...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Land from the sea: The mangrove afforestation program of Bangladesh

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Peter Saenger, N. A. Siddiqi

Journal: Ocean & Coastal ManagementYear: 1993Citations: 189

The coastal areas of Bangladesh have a high cyclone frequency. The protection from cyclone damage afforded by the natural mangrove forests of the Sundarbans, led the Forest Department in 1966 to initiate a mangrove afforestation programme. These initial plantings proved highly successful in protecti...

Physical SciencesEnvironmental ScienceEcology
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Mango leaf disease recognition using neural network and support vector machine

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Md. Rasel Mia, Sujit Roy, Subrata Das, Md. Atikur Rahman

Journal: Iran Journal of Computer ScienceYear: 2020Citations: 135
Life SciencesAgricultural and Biological SciencesPlant Science
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CNN based Disease Detection Approach on Potato Leaves

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Md. Khalid Rayhan Asif, Md. Asfaqur Rahman, Most. Hasna Hena

Year: 2020Citations: 106

Potatoes are a well-known vegetable to all of us. If the other countries are taken into consideration, it can be easily concluded that potatoes are the number one vegetable all over the world, which has been increasingly claimed by many Agricultural departments. Despite the hype, potato leaf disease...

Life SciencesAgricultural and Biological SciencesPlant Science
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YOLO-JD: A Deep Learning Network for Jute Diseases and Pests Detection from Images

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Dawei Li, Foysal Ahmed, Nailong Wu, Arlin I. Sethi

Journal: PlantsYear: 2022Citations: 96

Recently, disease prevention in jute plants has become an urgent topic as a result of the growing demand for finer quality fiber. This research presents a deep learning network called YOLO-JD for detecting jute diseases from images. In the main architecture of YOLO-JD, we integrated three new module...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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BananaSqueezeNet: A very fast, lightweight convolutional neural network for the diagnosis of three prominent banana leaf diseases

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Md. Abdullahil Baki Bhuiyan, Hasan Muhammad Abdullah, Shifat E. Arman, Sayed Saminur Rahman et al.

Journal: Smart Agricultural TechnologyYear: 2023Citations: 83

All over the world, bananas are one of the most common fruits. It accounts for nearly 16% of global fruit production. However, every year, a large amount of banana yield losses occur due to different diseases of the banana leaf. It is essential to identify these diseases at an early stage in order t...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Nutritional Analysis of Date Fruits (Phoenix dactylifera L.) in Perspective of Bangladesh

Verified

Sultana Parvin

Journal: American Journal of Life SciencesYear: 2015Citations: 71

Present study reveals a thorough investigation of nutritional values of three different varieties (Trounja, Lagou, Gounda) of Tunisian dates available in Bangladeshi local markets. Moisture and total solids were (13.2-14.1%) and (85.9-86.8%), respectively. Ash and crude fibers contents were (2.13-2....

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Physico-chemical Characterization, Classification and Quality Evaluation of Date Palm Fruits of some Moroccan Cultivars

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A. Hasanaoui, Mohammed Aziz Elhoumaizi, Abdelkader Hakkou, Bernard Wathelet et al.

Journal: Journal of Scientific ResearchYear: 2010Citations: 70

Fourteen native date cultivars from different oases and regions of Morocco, Tunisia and Algeria were examined for their approximate composition, water activity, and CIELAB parameters. Sugars were the predominant component in all studied date cultivars (~ 54.14 - 75.56 g/100g dry matter), followed by...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Disease Detection of Plant Leaf using Image Processing and CNN with Preventive Measures

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Husnul Ajra, Mst. Khairun Nahar, Lipika Sarkar, Md. Shohidul Islam

Year: 2020Citations: 66

Agriculture is a very significant field for increasing population over the world to meet the basic needs of food. Meanwhile, nutrition and the world economy depend on the growth of grains and vegetables. Many farmers are cultivating in remote areas of the world with the lack of accurate knowledge an...

Life SciencesAgricultural and Biological SciencesPlant Science
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Machine Learning based Image Classification of Papaya Disease Recognition

Verified

Md. Ashiqul Islam, Md Shahriar Islam, Md. Sagar Hossen, Minhaz Uddin Emon et al.

Journal: 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)Year: 2020Citations: 64

To help farmers and rural people of Bangladesh, many research works are proposed in the recent years to recognize the papaya diseases that takes a great deal of advantage in machine learning fields. This research is mainly required to support agriculture to make it highly effective and helpful parti...

Life SciencesAgricultural and Biological SciencesPlant Science
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A high performance-oriented AI-enabled IoT-based pest detection system using sound analytics in large agricultural field

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Md. Akkas Ali, Rajesh Kumar Dhanaraj, Anand Nayyar

Journal: Microprocessors and MicrosystemsYear: 2023Citations: 60
Life SciencesAgricultural and Biological SciencesPlant Science
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Potato Disease Detection Using Machine Learning

Verified

Marjanul Islam Tarik, Sadia Akter, Abdullah Al Mamun, Abdus Sattar

Journal: 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)Year: 2021Citations: 59

In Bangladesh potato is one of the major crops. Potato cultivation has been very popular in Bangladesh for the last few decades. But potato production is being hampered due to some diseases which are increasing the cost of farmers in potato production. However, some potato diseases are hampering pot...

Life SciencesAgricultural and Biological SciencesPlant Science
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A review on the legislative aspect of artificial fruit ripening

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Md Nazibul Islam, Mehnaz Mursalat, Mohidus Samad Khan

Journal: Agriculture & Food SecurityYear: 2016Citations: 59

Fruit ripening is a natural process in which a fruit goes through various physical and chemical changes and gradually becomes sweet, colored, soft, and palatable. Fruit ripening process can also be stimulated by applying artificial fruit ripening agents. Farmers and vendors often use artificial ripe...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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LeafNet: A proficient convolutional neural network for detecting seven prominent mango leaf diseases

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Redwan Ahmed Rizvee, Tasnim Hossain Orpa, Adil Ahnaf, Md Ahsan Kabir et al.

Journal: Journal of Agriculture and Food ResearchYear: 2023Citations: 58

Fruit production plays a significant role in meeting nutritional needs and contributing to the lessening of the global food crisis. Plant diseases are quite a common phenomenon that hampers gross production and causes huge losses for farmers in tropical South Asian weather conditions. In context, ea...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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