Surveillance Approaches to Intrusion Detection, Crop Health, and Disease Prevention in Agriculture

NB Nong, M Tarek - Quarterly Journal of Emerging Technologies and …, 2023 - vectoral.org
Agriculture is facing numerous challenges in the 21st century, including crop damage from
intrusions, water stress, weed infestation, and disease outbreaks. This study examines the …

Computer Vision and Agricultural Robotics for Disease Control

R Anand, BS Madhusudan, DG Bhalekar - Applications of Computer Vision …, 2024 - Springer
Crop diseases pose significant challenges to the agricultural industry, affecting crop health,
yield, and economic stability. Traditional disease control methods are often labor-intensive …

Detection of healthy and diseased crops in drone captured images using Deep Learning

J Vardhan, KS Swetha - arXiv preprint arXiv:2305.13490, 2023 - arxiv.org
Monitoring plant health is crucial for maintaining agricultural productivity and food safety.
Disruptions in the plant's normal state, caused by diseases, often interfere with essential …

Automated Drone-Based Imaging Systems For Plant Health Monitoring Using Deep Learning Techniques

K Sundravadivelu, PG Senthilvel… - … and Control for …, 2023 - ieeexplore.ieee.org
Accurate and scalable plant health monitoring has entered a new age with the combination
of automated drone-based imaging systems with cutting-edge deep learning algorithms …

IoT-enhanced machine learning for precise crop disease detection and sustainable agriculture

SK Suman, V Singh, U Prasad, S Chakravarty… - AIP Conference …, 2024 - pubs.aip.org
Crop diseases present a substantial threat to worldwide food security, emphasizing the
critical importance of timely and precise disease detection to mitigate yield losses and …

Disease Detection using Region-Based Convolutional Neural Network and ResNet

VS Sri, VH Sailu, U Pradeepthi, PM Sai… - Data and Metadata, 2023 - dm.saludcyt.ar
In recent times, various techniques have been employed in agriculture to address different
aspects. These techniques encompass strategies to enhance crop yield, identify hidden …

Revolutionizing agriculture: exploring advanced technologies for plant protection in the agriculture sector

A Khang, KC Rath, S Panda, PK Sree… - Handbook of Research …, 2023 - igi-global.com
This chapter highlights the challenges faced by agricultural enterprises in safeguarding their
crops from pests, diseases, and environmental stressors. By examining the evolution of plant …

CNN-LSTM framework to automatically detect anomalies in farmland using aerial images from UAVs

O Dewangan, P Vij - BIO Web of Conferences, 2024 - bio-conferences.org
Using aerial inspection techniques in farmlands can yield vital data instrumental in
mitigating various impediments to optimizing farming practices. Farmland anomalies …

Remote sensing enabled sustainable tomato plant health and pest surveillance using machine learning techniques

W Yu, S Li - International Journal of Sensor Networks, 2024 - inderscienceonline.com
To ensure long-term food security, it's vital to detect pests and diseases in crops. Traditional
monitoring methods are labour-intensive and lack real-time info, leading to ineffective …

[PDF][PDF] REMOTE SENSING (RS), UAV/DRONES, AND MACHINE LEARNING (ML) AS POWERFUL TECHNIQUES FOR PRECISION AGRICULTURE: EFFECTIVE …

NL Rane, SP Choudhary - 2023 - academia.edu
Precision agriculture utilizes modern technology to optimize agricultural practices, resulting
in increased productivity while reducing costs and environmental impact. The use of remote …