AI can empower agriculture for global food security: challenges and prospects in developing nations

A Ahmad, AXW Liew, F Venturini… - Frontiers in Artificial …, 2024 - frontiersin.org
Food and nutrition are a steadfast essential to all living organisms. With specific reference to
humans, the sufficient and efficient supply of food is a challenge as the world population …

A review on rice plant phenotyping traits estimation for disease and growth management using modern ML techniques

B Patel, A Sharaff - Multimedia Tools and Applications, 2024 - Springer
Over the past decades, rice crops have been crucially acknowledged as one of the most
powerful energy streams for the production of resources. Plant phenotyping trait estimation …

Performance analysis of segmentation models to detect leaf diseases in tomato plant

P Kaur, S Harnal, V Gautam, MP Singh… - Multimedia Tools and …, 2024 - Springer
In agriculture around 22% of crop yield loss is due to living and non-living organisms such
as biotic and abiotic stress/disease. The early-stage diagnosis of these stresses is an …

Hybrid deep learning model for multi biotic lesions detection in solanum lycopersicum leaves

P Kaur, S Harnal, V Gautam, MP Singh… - Multimedia Tools and …, 2024 - Springer
Farmers are concerned about the automatic detection of lesions and pests that threaten
tomato plants. Traditional computer vision and pattern recognition technologies have limits …

[HTML][HTML] SM-CycleGAN: crop image data enhancement method based on self-attention mechanism CycleGAN

D Liu, Y Cao, J Yang, J Wei, J Zhang, C Rao, B Wu… - Scientific Reports, 2024 - nature.com
Crop disease detection and crop baking stage judgement require large image data to
improve accuracy. However, the existing crop disease image datasets have high asymmetry …

Detection of Fusarium head blight in wheat using UAV remote sensing based on parallel channel space attention

W Bao, C Huang, G Hu, B Su, X Yang - Computers and Electronics in …, 2024 - Elsevier
Wheat plays a vital role in global food production, trade, and food security concerns.
However, it is susceptible to Fusarium head blight (FHB), resulting in decreased yield and …

Wheat leaf disease classification using modified ResNet50 convolutional neural network model

A Usha Ruby, J George Chellin Chandran… - Multimedia Tools and …, 2024 - Springer
Wheat leaf disease prevention and treatment requires an accurate and rapid classification of
wheat leaf diseases and their extent. Using healthy wheat, leaf rust, crown, root rot, and …

[HTML][HTML] Computer vision-based plants phenotyping: A comprehensive survey

T Meraj, MI Sharif, M Raza, A Alabrah, S Kadry… - Iscience, 2024 - ncbi.nlm.nih.gov
The increasing demand for food production due to the growing population is raising the
need for more food-productive environments for plants. The genetic behavior of plant traits …

A disease monitoring system using multi-class capsule network for agricultural enhancement in muskmelon

K Deeba, A Balakrishnan, M Kumar, K Ramana… - Multimedia Tools and …, 2024 - Springer
For any agricultural society, the well-being of the plants is crucial to achieve a greater yield.
The health and vigor of plants play a pivotal role in shaping the ultimate outcome of crop …

A novel hybrid segmentation technique for identification of wheat rust diseases

D Kumar, V Kukreja, A Singh - Multimedia Tools and Applications, 2024 - Springer
Wheat is one of the most common staple crops and every year, a million tons have been
exported from India worldwide. Among all states of India, more than 50% of wheat grew in …