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Related papers: Early Detection of Red Palm Weevil Infestations us…

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The Red Palm Weevil (RPW) is a highly destructive insect causing economic losses and impacting palm tree farming worldwide. This paper proposes an innovative approach for sustainable palm tree farming by utilizing advanced technologies for…

Computer Vision and Pattern Recognition · Computer Science 2023-06-30 Yosra Hajjaji , Ayyub Alzahem , Wadii Boulila , Imed Riadh Farah , Anis Koubaa

The spread of the Red Pal Weevil (RPW) has become an existential threat for palm trees around the world. In the Middle East, RPW is causing wide-spread damage to date palm Phoenix dactylifera L., having both agricultural impacts on the palm…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Yashu Kang , Chunlei Chen , Fujian Cheng , Jianyong Zhang

The spread of the Red Palm Weevil has dramatically affected date growers, homeowners and governments, forcing them to deal with a constant threat to their palm trees. Early detection of palm tree infestation has been proven to be critical…

Computer Vision and Pattern Recognition · Computer Science 2023-01-31 Dima Kagan , Galit Fuhrmann Alpert , Michael Fire

The red palm mite infestation has become a serious concern, particularly in regions with extensive palm cultivation, leading to reduced productivity and economic losses. Accurate and early identification of mite-infested plants is critical…

Computer Vision and Pattern Recognition · Computer Science 2025-10-22 Harshini Suresha , Kavitha SH

Sweetpotato weevils (Cylas spp.) are considered among the most destructive pests impacting sweetpotato production, particularly in sub-Saharan Africa. Traditional methods for assessing weevil damage, predominantly relying on manual scoring,…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Doreen M. Chelangat , Sudi Murindanyi , Bruce Mugizi , Paul Musana , Benard Yada , Milton A. Otema , Florence Osaru , Andrew Katumba , Joyce Nakatumba-Nabende

Addressing plant diseases and pests is critical for enhancing crop production and preventing economic losses. Recent advances in artificial intelligence (AI), machine learning (ML), and deep learning (DL) have significantly improved the…

Computer Vision and Pattern Recognition · Computer Science 2025-08-13 Saptarshi Banerjee , Tausif Mallick , Amlan Chakroborty , Himadri Nath Saha , Nityananda T. Takur

Accurate insect pest recognition plays a critical role in agriculture. It is a challenging problem due to the intricate characteristics of insects. In this paper, we present DeWi, novel learning assistance for insect pest classification.…

Computer Vision and Pattern Recognition · Computer Science 2024-09-17 Toan Nguyen , Huy Nguyen , Huy Ung , Hieu Ung , Binh Nguyen

Insects are an integral part of our ecosystem. These often small and evasive animals have a big impact on their surroundings, providing a large part of the present biodiversity and pollination duties, forming the foundation of the food…

Sound · Computer Science 2022-11-18 Marius Faiß

Smart farming and precision agriculture represent game-changer technologies for efficient and sustainable agribusiness. Miniaturized palm-sized drones can act as flexible smart sensors inspecting crops, looking for early signs of potential…

Computer Vision and Pattern Recognition · Computer Science 2024-07-02 Luca Crupi , Luca Butera , Alberto Ferrante , Daniele Palossi

Many countries such as Saudi Arabia, Morocco and Tunisia are among the top exporters and consumers of palm date fruits. Date fruit production plays a major role in the economies of the date fruit exporting countries. Date fruits are…

Computer Vision and Pattern Recognition · Computer Science 2024-05-14 Ghassen Ben Brahim , Jaafar Alghazo , Ghazanfar Latif , Khalid Alnujaidi

In the Agriculture sector, control of plant leaf diseases is crucial as it influences the quality and production of plant species with an impact on the economy of any country. Therefore, automated identification and classification of plant…

Computer Vision and Pattern Recognition · Computer Science 2021-01-27 Asim Khan , Umair Nawaz , Anwaar Ulhaq , Randall W. Robinson

This paper provides a comprehensive review of past and current advances in the early detection of bark beetle-induced tree mortality from three primary perspectives: bark beetle & host interactions, RS, and ML/DL. In contrast to prior…

Machine Learning · Computer Science 2023-11-28 Seyed Mojtaba Marvasti-Zadeh , Devin Goodsman , Nilanjan Ray , Nadir Erbilgin

Plant diseases significantly impact our food supply, causing problems for farmers, economies reliant on agriculture, and global food security. Accurate and timely plant disease diagnosis is crucial for effective treatment and minimizing…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Bimarsha Khanal , Paras Poudel , Anish Chapagai , Bijan Regmi , Sitaram Pokhrel , Salik Ram Khanal

The rapid advances in Deep Learning (DL) techniques have enabled rapid detection, localisation, and recognition of objects from images or videos. DL techniques are now being used in many applications related to agriculture and farming.…

Computer Vision and Pattern Recognition · Computer Science 2021-03-03 A S M Mahmudul Hasan , Ferdous Sohel , Dean Diepeveen , Hamid Laga , Michael G. K. Jones

Palm vein identification (PVI) is a modern biometric security technique used for increasing security and authentication systems. The key characteristics of palm vein patterns include, its uniqueness to each individual, unforgettable,…

Computer Vision and Pattern Recognition · Computer Science 2020-08-03 Mohammed Hamzah Abed , Ali H. Alsaeedi , Ali D. Alfoudi , Abayomi M. Otebolaku , Yasmeen Sajid Razooqi

Insect-pests significantly impact global agricultural productivity and quality. Effective management involves identifying the full insect community, including beneficial insects and harmful pests, to develop and implement integrated pest…

Plant disease detection is a huge problem and often require professional help to detect the disease. This research focuses on creating a deep learning model that detects the type of disease that affected the plant from the images of the…

Computer Vision and Pattern Recognition · Computer Science 2020-03-12 Anjaneya Teja Sarma Kalvakolanu

Structural pests, such as termites, pose a serious threat to wooden buildings, resulting in significant economic losses due to their hidden and progressive damage. Traditional detection methods, such as visual inspections and chemical…

Over the past few years, total financial investment in the agricultural sector has increased substantially. Palm tree is important for many countries' economies, particularly in northern Africa and the Middle East. Monitoring in terms of…

Computers and Society · Computer Science 2022-09-13 Yosra Hajjaji , Wadii Boulila , Imed Riadh Farah

Wi-Fi systems based on the family of IEEE 802.11 standards that operate in unlicenced bands are the most popular wireless interfaces that use Listen Before Talk (LBT) methodology for channel access. Distinctive feature of majority of…

Signal Processing · Electrical Eng. & Systems 2021-03-30 Vukan Ninkovic , Dejan Vukobratovic , Aleksandar Valka , Dejan Dumic
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