A systematic literature review of machine learning techniques deployed in agriculture: A case study of banana crop

P Sahu, AP Singh, A Chug, D Singh - IEEE Access, 2022 - ieeexplore.ieee.org
Agricultural productivity is the asset on which the world's economy thoroughly relies. This is
one of the major causes that disease identification in fruits and plants occupies a salient role …

Deep learning for plant identification and disease classification from leaf images: multi-prediction approaches

J Yao, SN Tran, S Garg, S Sawyer - ACM Computing Surveys, 2024 - dl.acm.org
Deep learning (DL) plays an important role in modern agriculture, especially in plant
pathology using leaf images where convolutional neural networks (CNN) are attracting a lot …

An improved agro deep learning model for detection of Panama wilts disease in banana leaves

R Sangeetha, J Logeshwaran, J Rocher, J Lloret - AgriEngineering, 2023 - mdpi.com
Recently, Panama wilt disease that attacks banana leaves has caused enormous economic
losses to farmers. Early detection of this disease and necessary preventive measures can …

Machine learning for leaf disease classification: data, techniques and applications

J Yao, SN Tran, S Sawyer, S Garg - Artificial Intelligence Review, 2023 - Springer
The growing demand for sustainable development brings a series of information
technologies to help agriculture production. Especially, the emergence of machine learning …

Precision Agriculture: Classifying Banana Leaf Diseases with Hybrid Deep Learning Models

D Banerjee, V Kukreja, S Hariharan… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
The majority of the people in India dependent on farming to earn a living. As a due to climate
change, farmers face various challenges. One of them is a reduction in yield, and one of the …

A transfer learning-based deep convolutional neural network for detection of fusarium wilt in banana crops

K Yan, MKC Shisher, Y Sun - AgriEngineering, 2023 - mdpi.com
During the 1950s, the Gros Michel species of bananas were nearly wiped out by the
incurable Fusarium Wilt, also known as Panama Disease. Originating in Southeast Asia …

[HTML][HTML] Recent developments of artificial intelligence for banana: Application areas, learning algorithms, and future challenges

E Almeyda, W Ipanaqué - Engenharia Agrícola, 2022 - SciELO Brasil
Bananas are the world's most traded fruits. Several analytical models using artificial
intelligence (AI) have been developed to resolve challenges facing the banana supply …

SKGDC: Effective Segmentation Based Deep Learning Methodology for Banana Leaf, Fruit, and Stem Disease Prediction

S Shetty, TR Mahesh - SN Computer Science, 2024 - Springer
In agriculture, detecting plant diseases is crucial for optimal plant growth. Initially, input
images are collected from three datasets: banana leaf spot diseases (BananaLSD) dataset …

Banana leaf disease recognition based on local binary pattern

V Chaudhari, HH Dawoodi, MP Patil - Smart Trends in Computing and …, 2022 - Springer
Plant diseases are one of the main causes to reduce the quality and quantity of crop yield.
Traditional expert eye necked opinion method is used to recognize the crop diseases. In …

Banana disease classification using transfer learning

MIFM Derafi, SFA Razak… - 2024 IEEE Symposium on …, 2024 - ieeexplore.ieee.org
The cultivation of bananas, which is a crucial aspect of world agriculture, has significant
challenges due to numerous illnesses that pose a threat to both the quantity and quality of …