[HTML][HTML] A Systematic Review on the Advancements in Remote Sensing and Proximity Tools for Grapevine Disease Detection

F Portela, JJ Sousa, C Araújo-Paredes, E Peres… - Sensors, 2024 - mdpi.com
Grapevines (Vitis vinifera L.) are one of the most economically relevant crops worldwide, yet
they are highly vulnerable to various diseases, causing substantial economic losses for …

[HTML][HTML] A systematic review of uav and ai integration for targeted disease detection, weed management, and pest control in precision agriculture

I Anam, N Arafat, MS Hafiz, JR Jim, MM Kabir… - Smart Agricultural …, 2024 - Elsevier
Unmanned aerial vehicles (UAV), often unmanned aerial systems, are increasingly used in
many industries, such as agriculture, forestry, the military, and disaster management. This is …

[HTML][HTML] CNN-MLP-based configurable robotic arm for smart agriculture

M Li, F Wu, F Wang, T Zou, M Li, X Xiao - Agriculture, 2024 - mdpi.com
Amidst escalating global populations and dwindling arable lands, enhancing agricultural
productivity and sustainability is imperative. Addressing the inefficiencies of traditional …

Improved monitoring of southern corn rust using UAV-based multi-view imagery and an attention-based deep learning method

Z Lv, B Xu, L Zhong, G Chen, Z Huang, R Sun… - … and Electronics in …, 2024 - Elsevier
Southern corn rust (SCR) is a significant foliar disease, which can result in substantial corn
yield losses. Unmanned aerial vehicle (UAV)-based optical remote sensing presents a …

GMamba: State space model with convolution for Grape leaf disease segmentation

X Zhang, W Mu - Computers and Electronics in Agriculture, 2024 - Elsevier
Plant leaf diseases severely impair crop quality and productivity. Accurate segmentation of
diseases facilitates the understanding of disease distribution and is a critical step in …

Optimal Fuzzy Deep Neural Networks based Plant Disease Detection and Classification on UAV-based Remote Sensed Data

M Pajany, S Venkatraman, U Sakthi, M Sujatha… - IEEE …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) equipped with remote sensing (RS) abilities have
revolutionized agriculture practices, especially in the area of plant disease detection, with …

Enhanced detection of mango leaf diseases in field environments using MSMP-CNN and transfer learning

YC Chen, JC Wang, MH Lee, AC Liu… - Computers and Electronics …, 2024 - Elsevier
Mango trees affected by various diseases often exhibit distinctive leaf symptoms. Accurate
and timely diagnosis is crucial for mango cultivation. Deep learning algorithms provide a …

Object Detection in High-Resolution UAV Aerial Remote Sensing Images of Blueberry Canopy Fruits

Y Zhao, L Yang, X Xu - Agriculture, 2024 - search.proquest.com
Blueberries, as one of the more economically rewarding fruits in the fruit industry, play a
significant role in fruit detection during their growing season, which is crucial for orchard …

A grapevine trunks and intra-plant weeds segmentation method based on improved Deeplabv3 Plus

S Yang, Z Cui, M Li, J Li, D Gao, F Ma… - Computers and Electronics …, 2024 - Elsevier
Accurate identification of grapevine trunks and interplant weeds is crucial for the intelligent
development of weeding sessions in vineyards. Challenges arise due to the nonuniform …

[HTML][HTML] Segmentation of Wheat Rust Disease Using Co-Salient Feature Extraction

H Anwar, H Muhammad, MM Ghaffar, MA Afridi… - AgriEngineering, 2025 - mdpi.com
Wheat Stripe Rust Disease (WRD) poses a significant threat to wheat crops, causing
substantial yield losses and can result in total crop damage if not detected early. The …