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Field: Spectroscopy and Chemometric Analyses

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

Verified

Md Abu Jabed, Masrah Azrifah Azmi Murad

Heliyon
Journal:
Year: 2024
Citations: 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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An Automated Convolutional Neural Network Based Approach for Paddy Leaf Disease Detection

Verified

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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Assessment of Visible Near-Infrared Hyperspectral Imaging as a Tool for Detection of Horsemeat Adulteration in Minced Beef

Verified

Mohammed Kamruzzaman, Yoshio Makino, Seiichi Oshita, Shu Liu

Journal: Food and Bioprocess TechnologyYear: 2015Citations: 146
Physical SciencesChemistryAnalytical Chemistry
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Sorption isotherms and heat of sorption of pineapple

Verified

Md Delwar Hossain, M.D Hossain, B. K. Bala, M. A. Hossain et al.

Journal: Journal of Food EngineeringYear: 2001Citations: 144

Sorption isotherms of pineapple were determined at 20 degrees C, 30 degrees C, 40 degrees C and 50 degrees C temperatures by using dynamic method. Six two parameter and one three-parameter isotherm models were selected to fit the observed data, and the modified BET model was found to be the best-fit...

Life SciencesAgricultural and Biological SciencesFood Science
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Machine learning‐based modeling in food processing applications: State of the art

Verified

Md. Imran H. Khan, Shyam S. Sablani, Richi Nayak, Yuantong Gu

Journal: Comprehensive Reviews in Food Science and Food SafetyYear: 2022Citations: 129

Food processing is a complex, multifaceted problem that requires substantial human interaction to optimize the various process parameters to minimize energy consumption and ensure better-quality products. The development of a machine learning (ML)-based approach to food processing applications is an...

Life SciencesAgricultural and Biological SciencesFood Science
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Parsimonious model development for real-time monitoring of moisture in red meat using hyperspectral imaging

Verified

Mohammed Kamruzzaman, Yoshio Makino, Seiichi Oshita

Journal: Food ChemistryYear: 2015Citations: 124

A hyperspectral imaging system in the spectral range of 400-1000 nm was investigated to develop a multispectral real-time imaging system allowing the meat industry to determine moisture content in red meat including beef, lamb, and pork. Multivariate calibration models were developed using partial l...

Physical SciencesChemistryAnalytical Chemistry
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Ensemble machine learning-based recommendation system for effective prediction of suitable agricultural crop cultivation

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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

Verified

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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Advances in single cell Raman spectroscopy technologies for biological and environmental applications

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Dongqi Wang, Peisheng He, Zijian Wang, Guangyu Li et al.

Journal: Current Opinion in BiotechnologyYear: 2020Citations: 116

The increasing sophistication of single cell Raman spectroscopy (SCRS) via its integrations with other advanced analytical techniques and modern data analytics, enable unprecedented exploration of complex biological and environmental samples with significantly improved specificity, sensitivity, and ...

Life SciencesBiochemistry, Genetics and Molecular BiologyBiophysics
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Content based paddy leaf disease recognition and remedy prediction using support vector machine

Verified

Farhana Tazmim Pinki, Nipa Khatun, Sahidul Islam

Year: 2017Citations: 112

Rice is one of the staple foods of the world. But the production of rice is hampered by various kind of paddy diseases. One of the main diseases of paddy is leaf disease. Generally, it is very time-consuming and laborious for farmers of remote areas to identify paddy leaf diseases due to unavailabil...

Life SciencesAgricultural and Biological SciencesPlant Science
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Rice Disease Identification and Classification by Integrating Support Vector Machine With Deep Convolutional Neural Network

Verified

Md Jahid Hasan, Shamim Mahbub, Md. Shahin Alom, Md. Abu Nasim

Journal: 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)Year: 2019Citations: 109

Over the world, rice is one of the most extensively consuming staple foods. But due to various diseases of rice, farmers can't yield rice according to their expectation. Therefore, the quality, quantity and production of rice are being interrupted. It is difficult for the farmers to diagnose disease...

Life SciencesAgricultural and Biological SciencesPlant Science
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CNN based Disease Detection Approach on Potato Leaves

Verified

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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Tea Leaf Diseases Recognition using Neural Network Ensemble

Verified

Bikash ChandraKarmokar, Mohammad Samawat Ullah, Md. Kibria Siddiquee, Kazi Md. Rokibul Alam

Journal: International Journal of Computer ApplicationsYear: 2015Citations: 100

This paper proposes a tea leaf diseases recognizer (TLDR), an initiative to recognize diseases of the tea leaf. In TLDR, at first the image of the tea leaf is cropped, resized and converted to its threshold value in the image processing. Then feature extraction method is applied. Neural Network Ense...

Physical SciencesChemistryAnalytical ChemistryOpen Access
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A Faster Technique on Rice Disease Detectionusing Image Processing of Affected Area in Agro-Field

Verified

Md. Taohidul Islam, Manish Sah, Sudipto Baral, Rudra Roy Choudhury

Year: 2018Citations: 99

Plant disease is defined as an abnormal physiological process that distorts the plant's normal structure, growth and function. Disease reduces quality as well as quantity of the crops which in turn affects the economy of country like Bangladesh where agriculture is the main occupation. Since Rice is...

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

Verified

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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