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Field: Smart Agriculture and AI

Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification

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Sabbir Ahmed, Md. Bakhtiar Hasan, Tasnim Ahmed, Md. Redwan Karim Sony et al.

Journal: IEEE Access
Year: 2022
Citations: 179

To ensure global food security and the overall profit of stakeholders, the importance of correctly detecting and classifying plant diseases is paramount. In this connection, the emergence of deep learning-based image classification has introduced a substantial number of solutions. However, the appli...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Soil Classification Using Machine Learning Methods and Crop Suggestion Based on Soil Series

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Sk Al Zaminur Rahman, Kaushik Chandra Mitra, Sahidul Islam

Year: 2018Citations: 179

Soil is an important ingredient of agriculture. There are several kinds of soil. Each type of soil can have different kinds of features and different kinds of crops grow on different types of soils. We need to know the features and characteristics of various soil types to understand which crops grow...

Life SciencesAgricultural and Biological SciencesPlant Science
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Machine vision based papaya disease recognition

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Md. Tarek Habib, Anup Majumder, A.Z.M. Jakaria, Morium Akter et al.

Journal: Journal of King Saud University - Computer and Information SciencesYear: 2018Citations: 178

Over the years little research has been performed for vision-based papaya disease recognition system in order to help distant farmers, most of whom require proper support for cultivation. Due to advancement of vision-based technology we find a good solution to this problem. Papaya disease recognitio...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Recognition and detection of tea leaf's diseases using support vector machine

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Selim Hossain, Rokeya Mumtahana Mou, Mohammed Mahedi Hasan, Sajib Chakraborty et al.

Year: 2018Citations: 158

Tea is a popular beverage all around the world, and in Bangladesh the cultivation of tea plays a vital role. Many diseases affect the proper growth of tea leaves leading to its reduction, thus hindering of the production of tea. However, if the disease is identified at an early age it would solve al...

Life SciencesAgricultural and Biological SciencesPlant Science
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A smart farming concept based on smart embedded electronics, internet of things and wireless sensor network

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Mobasshir Mahbub

Journal: Internet of ThingsYear: 2020Citations: 156

With the exponential growth of the human race that means the growth of population, the conventional or ancient farming methods are becoming unable to cope with the growth with satisfaction. Hence advanced farming methods are much needed to approach the necessity of foods of this growing number of pe...

Physical SciencesComputer ScienceComputer Networks and Communications
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IoT based smart agrotech system for verification of Urban farming parameters

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Amit Kumer Podder, Abdullah Al Bukhari, Sayemul Islam, Sujon Mia et al.

Journal: Microprocessors and MicrosystemsYear: 2021Citations: 155

The recent seen intelligent technologies like the internet of things (IoT), computer vision etc. facilitates farming activities and also provides flexible farm operations. On the other side, farming has become feasible even in urban areas, especially building roofs, open gardens, and indoor agricult...

Life SciencesAgricultural and Biological SciencesPlant Science
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Crop yield prediction in agriculture: A comprehensive review of machine learning and deep learning approaches, with insights for future research and sustainability

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Md Abu Jabed, Masrah Azrifah Azmi Murad

Journal: HeliyonYear: 2024Citations: 153

The agriculture sector is confronted with numerous challenges in the quest for accurate crop yield estimation, which is essential for efficient resource management and mitigating food scarcity in a rapidly growing global population. This research paper delves into the application of advanced Artific...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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DeepCrop: Deep learning-based crop disease prediction with web application

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Md. Manowarul Islam, Md. Adil, Md. Alamin Talukder, Md. Khabir Uddin Ahamed et al.

Journal: Journal of Agriculture and Food ResearchYear: 2023Citations: 152

Agriculture plays a significant role in every nation's economy by producing crops. Plant disease identification is one of the most important aspects of maintaining an agriculturally developed nation. The timely and efficient detection of plant diseases is essential for a healthy and productive agric...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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An Automated Convolutional Neural Network Based Approach for Paddy Leaf Disease Detection

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Md. Ashiqul Islam, Md. Nymur, Muhammad Shamsojjaman, S. M. Nahid Hasan et al.

Journal: International Journal of Advanced Computer Science and ApplicationsYear: 2021Citations: 151

Bangladesh and India are significant paddy-cultivation countries in the globe. Paddy is the key producing crop in Bangladesh. In the last 11 years, the part of agriculture in Bangladesh's Gross Domestic Product (GDP) was contributing about 15.08 percent. But unfortunately, the farmers who are workin...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Machine learning enabled IoT system for soil nutrients monitoring and crop recommendation

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Md Reazul Islam, Khondokar Oliullah, Md. Mohsin Kabir, Munzirul Alom et al.

Journal: Journal of Agriculture and Food ResearchYear: 2023Citations: 143

Agriculture plays a vital role in feeding the growing global population. But optimizing crop production and resource management remains a significant challenge for farmers. This research paper proposes an innovative ML-enabled IoT device to monitor soil nutrients and provide accurate crop recommenda...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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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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Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review

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Md. Abrar Istiak, M. M. Mahbubul Syeed, Md Shakhawat Hossain, Mohammad Faisal Uddin et al.

Journal: Ecological InformaticsYear: 2023Citations: 131
Life SciencesAgricultural and Biological SciencesPlant Science
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Machine learning based recommendation of agricultural and horticultural crop farming in India under the regime of NPK, soil pH and three climatic variables

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Biplob Dey, Jannatul Ferdous, Romel Ahmed

Journal: HeliyonYear: 2024Citations: 117

Machine learning (ML) can make use of agricultural data related to crop yield under varying soil nutrient levels, and climatic fluctuations to suggest appropriate crops or supplementary nutrients to achieve the highest possible production. The aim of this study was to evaluate the efficacy of five d...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Ensemble machine learning-based recommendation system for effective prediction of suitable agricultural crop cultivation

Verified

Mahmudul Hasan, Md. Abu Marjan, Md Palash Uddin, Masud Ibn Afjal et al.

Journal: Frontiers in Plant ScienceYear: 2023Citations: 117

Agriculture is the most critical sector for food supply on the earth, and it is also responsible for supplying raw materials for other industrial productions. Currently, the growth in agricultural production is not sufficient to keep up with the growing population, which may result in a food shortfa...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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An effective feature extraction method for rice leaf disease classification

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Muhammad Anwarul Azim, Mohammad Khairul Islam, Md. Marufur Rahman, Farah Jahan

Journal: TELKOMNIKA (Telecommunication Computing Electronics and Control)Year: 2021Citations: 117

Our society is getting more and more technology dependent day by day. Nevertheless, agriculture is imperative for our survival. Rice is one of the primary food grains. It provides sustenance to almost fifty percent of the world population and promotes huge amount of employments. Hence, proper mitiga...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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