Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Unmanned Aerial Vehicles (UAV) in precision agriculture: Applications and challenges
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 …
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
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 …
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 …
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 …
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
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 …
particles such as microbial, chemical, and physical contamination in food. This review …
[HTML][HTML] Smart applications and digital technologies in viticulture: A review
It is important to continuously monitor the long-term impact of viticultural management
practices and assess opportunities for improving the environmental footprint of vineyard …
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
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 …
state-of-the-art machine learning (ML) techniques in many applications such as vegetation …
Hyperspectral sensing of plant diseases: Principle and methods
Pathogen infection has greatly reduced crop production. As the symptoms of diseases
usually appear when the plants are infected severely, rapid identification approaches are …
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 …
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**
Hyperspectral imaging has become one of the most popular techniques for high-throughput
plant phenoty**. Extracting and analyzing useful plant phenotypic traits from hyperspectral …
plant phenoty**. Extracting and analyzing useful plant phenotypic traits from hyperspectral …