Unmanned Aerial Vehicles (UAV) in precision agriculture: Applications and challenges

P Velusamy, S Rajendran, RK Mahendran, S Naseer… - Energies, 2021 - mdpi.com
Agriculture is the primary source of income in develo** countries like India. Agriculture
accounts for 17 percent of India's total GDP, with almost 60 percent of the people directly or …

Current state of hyperspectral remote sensing for early plant disease detection: A review

A Terentev, V Dolzhenko, A Fedotov, D Eremenko - Sensors, 2022 - mdpi.com
The development of hyperspectral remote sensing equipment, in recent years, has provided
plant protection professionals with a new mechanism for assessing the phytosanitary state of …

Early identification of strawberry leaves disease utilizing hyperspectral imaging combing with spectral features, multiple vegetation indices and textural features

G Wu, Y Fang, Q Jiang, M Cui, N Li, Y Ou, Z Diao… - … and Electronics in …, 2023 - Elsevier
Gray mold is a devastating disease during the growth of strawberries, which markedly affects
strawberry yield and quality. Accurate, rapid, and nondestructive recognition in the early …

A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture

JGA Barbedo - Computers and Electronics in Agriculture, 2023 - Elsevier
Hyperspectral images can capture the spectral characteristics of surfaces and objects,
providing a 2-D spacial component to the spectral profiles found in a given scene. There are …

Hyperspectral imaging and machine learning in food microbiology: Developments and challenges in detection of bacterial, fungal, and viral contaminants

A Soni, Y Dixit, MM Reis… - … Reviews in Food Science …, 2022 - Wiley Online Library
Hyperspectral imaging (HSI) is a robust and nondestructive method that can detect foreign
particles such as microbial, chemical, and physical contamination in food. This review …

[HTML][HTML] Smart applications and digital technologies in viticulture: A review

J Tardaguila, M Stoll, S Gutiérrez, T Proffitt… - Smart Agricultural …, 2021 - Elsevier
It is important to continuously monitor the long-term impact of viticultural management
practices and assess opportunities for improving the environmental footprint of vineyard …

Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review

A Ferchichi, AB Abbes, V Barra, IR Farah - Ecological Informatics, 2022 - Elsevier
Over the last few years, Deep learning (DL) approaches have been shown to outperform
state-of-the-art machine learning (ML) techniques in many applications such as vegetation …

Hyperspectral sensing of plant diseases: Principle and methods

L Wan, H Li, C Li, A Wang, Y Yang, P Wang - Agronomy, 2022 - mdpi.com
Pathogen infection has greatly reduced crop production. As the symptoms of diseases
usually appear when the plants are infected severely, rapid identification approaches are …

Plant disease detection and classification techniques: a comparative study of the performances

WB Demilie - Journal of Big Data, 2024 - Springer
One of the essential components of human civilization is agriculture. It helps the economy in
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …

HSI-PP: A flexible open-source software for hyperspectral imaging-based plant phenoty**

AI ElManawy, D Sun, A Abdalla, Y Zhu… - Computers and Electronics …, 2022 - Elsevier
Hyperspectral imaging has become one of the most popular techniques for high-throughput
plant phenoty**. Extracting and analyzing useful plant phenotypic traits from hyperspectral …