Recent advances in crop disease detection using UAV and deep learning techniques

TB Shahi, CY Xu, A Neupane, W Guo - Remote Sensing, 2023 - mdpi.com
Because of the recent advances in drones or Unmanned Aerial Vehicle (UAV) platforms,
sensors and software, UAVs have gained popularity among precision agriculture …

Present and future scopes and challenges of plant pest and disease (P&D) monitoring: Remote sensing, image processing, and artificial intelligence perspectives

HM Abdullah, NT Mohana, BM Khan, SM Ahmed… - Remote Sensing …, 2023 - Elsevier
Since the dawn of agriculture, farmers have been at the stake of dealing with pests and
diseases. Chemical pesticides are a reliable source of controlling pests and pathogens, but …

Early detection and spectral signature identification of tomato fungal diseases (Alternaria alternata, Alternaria solani, Botrytis cinerea, and Fusarium oxysporum) by …

SM Javidan, A Banakar, KA Vakilian, Y Ampatzidis… - Heliyon, 2024 - cell.com
Early identification of plant fungal diseases is critical for timely treatment, which can prevent
significant agricultural losses. While molecular analysis offers high accuracy, it is often …

Recent advances and challenges in plant viral diagnostics

A Kanapiya, U Amanbayeva, Z Tulegenova… - Frontiers in Plant …, 2024 - frontiersin.org
Accurate and timely diagnosis of plant viral infections plays a key role in effective disease
control and maintaining agricultural productivity. Recent advances in the diagnosis of plant …

Climate-smart pest management in sustainable agriculture: Promises and challenges

M Bouri, KS Arslan, F Şahin - Sustainability, 2023 - mdpi.com
Sustainable development in global and regional contexts has become mandatory to prevent
the potential adverse effects of human activities on the environment. While agricultural …

UAS-based remote sensing for agricultural Monitoring: Current status and perspectives

J Wang, S Zhang, I Lizaga, Y Zhang, X Ge… - … and Electronics in …, 2024 - Elsevier
Timely and accurate acquisition of field crop growth and environmental information is
essential for effective and accurate crop management. Low-altitude unmanned aerial system …

An intelligent and optimal deep learning approach in sensor based networks for detecting microbes

S Remya, T Anjali - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Microbes constitute a substantial portion of Earth's biodiversity and play a critical role in
maintaining the equilibrium of ecosystems. Their significance extends to various domains …

An Overview of the Special Issue on “Precision Agriculture Using Hyperspectral Images”

G Avola, A Matese, E Riggi - Remote Sensing, 2023 - mdpi.com
In precision agriculture systems, remote sensing has played an essential role in crop and
environment monitoring, and hyperspectral imaging is a particularly effective tool in this …

Direct Detection of Tobacco Mosaic Virus in Infected Plants with SERS-Sensing Hydrogels

LN Kissell, H Liu, M Sheokand, D Vang, P Kachroo… - ACS …, 2024 - ACS Publications
The impact of plant pathogens on global crop yields is a major societal concern. The current
agricultural diagnostic paradigm involves either visual inspection (inaccurate) or laboratory …

Deep learning to improve the sustainability of agricultural crops affected by phytosanitary events: A financial-risk approach

A Pena, JC Tejada, JD Gonzalez-Ruiz, M Gongora - Sustainability, 2022 - mdpi.com
Given the challenges in reducing greenhouse gases (GHG), one of the sectors that have
attracted the most attention in the Sustainable Development Agenda 2030 (SDA-2030) is the …