Chowdhury Rafeed Rahman, Preetom S. Arko, Mohammed Eunus Ali, Mohammad Ashik Iqbal Khan et al.
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...
Kawcher Ahmed, Tasmia Rahman Shahidi, Syed Md. Irfanul Alam, Sifat Momen
As one of the top ten rice producing and consuming countries in the world, Bangladesh depends greatly on rice for its economy and for meeting its food demands. To ensure healthy and proper growth of the rice plants it is essential to detect any disease in time and prior to applying required treatmen...
Md Palash Uddin, Md. Al Mamun, Md. Ali Hossain
The hyperspectral remote sensing images (HSIs) are acquired to encompass the essential information of land objects through contiguous narrow spectral wavelength bands. The classification accuracy is not often satisfactory in a cost-effective way using the entire original HSI for practical applicatio...
Md. Sabbir Ejaz, Md. Rabiul Islam, Md Sifatullah, Ananya Sarker
This paper represents an implementation of Principal Component Analysis (PCA) on masked and non-masked face recognition. Security is an essential term in our today's life. In various Biometric technology, face recognition is widely used to secure any system because it is better than any other tradit...
Eftekhar Hossain, Md. Farhad Hossain, Mohammad Anisur Rahaman
Modern organic farming is gaining popularity in the agriculture of many developing countries. There are many problems arise in farming due to various environmental factors and among these plant leaf disease is considered to be the most strong factor that causes the deficit of agricultural product qu...
Faisal Ahmed, Hawlader Abdullah Al-Mamun, Amna Bari, Emam Hossain et al.
In most agricultural systems, one of the major concerns is to reduce the growth of weeds. In most cases, removal of the weed population in agricultural fields involves the application of chemical herbicides, which has had successes in increasing both crop productivity and quality. However, concerns ...
David I. Ellis, Howbeer Muhamadali, Simon A. Haughey, Christopher T. Elliott et al.
Major food adulteration and contamination events occur with alarming regularity and are known to be episodic, with the question being not if but when another large-scale food safety/integrity incident will occur.
Llorenç Cabrera‐Bosquet, Gemma Molero, Anna Maria Stellacci, J. Bort et al.
The application of spectroradiometric index such as the normalized difference vegetation index (NDVI) to assess green biomass or nitrogen (N) content has focused on the plant canopy in precision agriculture or breeding programs. However, little is known about the usefulness of these techniques in is...
Mohammed Kamruzzaman, Yoshio Makino, Seiichi Oshita
The main objective of this study was to evaluate the potential of visible near-infrared (VNIR) hyperspectral imaging (400–1000 nm) and machine learning to detect adulteration in fresh minced beef with chicken. Minced beef samples were adulterated with minced chicken in the range 0–50% (w/w) at appro...
Md. Milon Islam, Hasib Iqbal, Md. Rezwanul Haque, Md. Kamrul Hasan
Breast Cancer is one of the most exquisite and internecine disease among all of the diseases in medical science. It is one of the crucial reasons of death among the females all over the world. We present a novel modality for the prediction of breast cancer and introduces with the Support Vector Mach...
Md Taimur Ahad, Yan Li, Bo Song, Touhid Bhuiyan
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...
Md Asif Iqbal, Kamrul Hasan Talukder
Potato is one of the prominent food crops all over the world. In Bangladesh, potato cultivation has been getting remarkable popularity over the last decades. Many diseases affect the proper growth of potato plants. Noticeable diseases are seen in the leaf region of this plant. Two common and popular...
Md. Tarek Habib, Anup Majumder, A.Z.M. Jakaria, Morium Akter et al.
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...
Selim Hossain, Rokeya Mumtahana Mou, Mohammed Mahedi Hasan, Sajib Chakraborty et al.
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...
Mohammed Kamruzzaman, Yoshio Makino, Seiichi Oshita
The requirement of real-time monitoring of food products has encouraged the development of non-destructive measurement systems. Hyperspectral imaging is a rapid, reagentless, non-destructive analytical technique that integrates traditional spectroscopic and imaging techniques into one system to atta...