[PDF][PDF] Deep learning in agriculture: a review

P Bharman, SA Saad, S Khan, I Jahan… - Asian Journal of …, 2022 - researchgate.net
Deep learning (DL) is a kind of sophisticated data analysis and image processing
technology, with good results and great potential. DL has been applied to many different …

[HTML][HTML] Deep learning for rice leaf disease detection: A systematic literature review on emerging trends, methodologies and techniques

CG Simhadri, HK Kondaveeti, VK Vatsavayi… - Information Processing …, 2024 - Elsevier
Rice is an essential food crop that is cultivated in many countries. Rice leaf diseases can
cause significant damage to crop cultivation, leading to reduced yields and economic …

Comparative analysis of recent architecture of convolutional neural network

MA Saleem, N Senan, F Wahid, M Aamir… - Mathematical …, 2022 - Wiley Online Library
Convolutiona neural network (CNN) is one of the best neural networks for classification,
segmentation, natural language processing (NLP), and video processing. The CNN consists …

An efficient adaptive feature selection with deep learning model-based paddy plant leaf disease classification

RK Dubey, DK Choubey - Multimedia Tools and Applications, 2024 - Springer
Agriculture is the essential source of national income for some nations including India.
Infections in crops/plants are serious causes of reduced quantity and quality of production …

Detection of rice plant disease using AdaBoostSVM classifier

K Kumar K, KE - Agronomy journal, 2022 - Wiley Online Library
The research in the detection of plant diseases using plant images based on machine
learning is widely increased in the field of agriculture. This could be done with the images of …

Adaptive feature selection with deep learning MBi-LSTM model based paddy plant leaf disease classification

RK Dubey, DK Choubey - Multimedia Tools and Applications, 2024 - Springer
For some nations, including India, agriculture is the main source of income. Crop/plant
infections are important factors in reduced production quantity and quality, which leads to …

[HTML][HTML] Feature aggregation for nutrient deficiency identification in chili based on machine learning

D Rahadiyan, S Hartati, AP Nugroho - Artificial Intelligence in Agriculture, 2023 - Elsevier
Macronutrient deficiency inhibits the growth and development of chili plants. One of the non-
destructive methods that plays a role in processing plant image data based on specific …

[PDF][PDF] An Optimized Convolution Neural Network Architecture for Paddy Disease Classification.

MA Saleem, M Aamir, R Ibrahim… - … , Materials & Continua, 2022 - cdn.techscience.cn
Plant disease classification based on digital pictures is challenging. Machine learning
approaches and plant image categorization technologies such as deep learning have been …

Convolutional neural network in rice disease recognition: accuracy, speed and lightweight

H Ning, S Liu, Q Zhu, T Zhou - Frontiers in Plant Science, 2023 - frontiersin.org
There are many rice diseases, which have very serious negative effects on rice growth and
final yield. It is very important to identify the categories of rice diseases and control them. In …

A deep ensemble approach for recognition of papaya diseases using EfficientNet models

RH Hridoy, MRA Tuli - 2021 5th International Conference on …, 2021 - ieeexplore.ieee.org
Diseases of papaya impeded quality production and caused severe financial damages to
growers. An efficient diagnosis approach for papaya diseases is enormously desired to …