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 developing 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 …
Computer vision, IoT and data fusion for crop disease detection using machine learning: A survey and ongoing research
Crop diseases constitute a serious issue in agriculture, affecting both quality and quantity of
agriculture production. Disease control has been a research object in many scientific and …
agriculture production. Disease control has been a research object in many scientific and …
Drones: innovative technology for use in precision pest management
FH Iost Filho, WB Heldens, Z Kong… - Journal of economic …, 2020 - academic.oup.com
Arthropod pest outbreaks are unpredictable and not uniformly distributed within fields. Early
outbreak detection and treatment application are inherent to effective pest management …
outbreak detection and treatment application are inherent to effective pest management …
Machine learning in precision agriculture: a survey on trends, applications and evaluations over two decades
Precision agriculture represents the new age of conventional agriculture. This is made
possible by the advancement of various modern technologies such as the internet of things …
possible by the advancement of various modern technologies such as the internet of things …
Leaf area index estimation under wheat powdery mildew stress by integrating UAV‑based spectral, textural and structural features
Y Liu, L An, N Wang, W Tang, M Liu, G Liu… - … and Electronics in …, 2023 - Elsevier
The infection of powdery mildew changes the internal physiological activity and external
morphology of winter wheat, resulting in damage to crop health. Leaf area index (LAI) is an …
morphology of winter wheat, resulting in damage to crop health. Leaf area index (LAI) is an …
Synthetic Minority Over-sampling TEchnique (SMOTE) and Logistic Model Tree (LMT)-Adaptive Boosting algorithms for classifying imbalanced datasets of nutrient and …
The conventional method to quantify leaf biochemical properties (nutrients and chlorophylls)
is tedious, labour-intensive, and impractical for vast oil palm plantation areas. Spectral …
is tedious, labour-intensive, and impractical for vast oil palm plantation areas. Spectral …
Improved CNN method for crop pest identification based on transfer learning
Y Liu, X Zhang, Y Gao, T Qu… - Computational intelligence …, 2022 - Wiley Online Library
Timely treatment and elimination of diseases and pests can effectively improve the yield and
quality of crops, but the current identification methods are difficult to achieve efficient and …
quality of crops, but the current identification methods are difficult to achieve efficient and …
Classification of imbalanced hyperspectral images using SMOTE-based deep learning methods
A Özdemir, K Polat, A Alhudhaif - Expert Systems with Applications, 2021 - Elsevier
Hyperspectral imaging (HSI) is one of the most advanced methods of digital imaging. This
technique differs from RGB images with its wide range of the electromagnetic spectrum …
technique differs from RGB images with its wide range of the electromagnetic spectrum …
A disease index for efficiently detecting wheat fusarium head blight using sentinel-2 multispectral imagery
Rapid, non-destructive detection of wheat Fusarium head blight (FHB) is an important tool
for disease control. Red-edge (RE) is a prominent spectral feature for determining crop …
for disease control. Red-edge (RE) is a prominent spectral feature for determining crop …
Dual-branch collaborative learning network for crop disease identification
Crop diseases seriously affect the quality, yield, and food security of crops. redBesides,
traditional manual monitoring methods can no longer meet intelligent agriculture's efficiency …
traditional manual monitoring methods can no longer meet intelligent agriculture's efficiency …