Applications of deep learning in precision weed management: A review

N Rai, Y Zhang, BG Ram, L Schumacher… - … and Electronics in …, 2023 - Elsevier
Deep Learning (DL) has been described as one of the key subfields of Artificial Intelligence
(AI) that is transforming weed detection for site-specific weed management (SSWM). In the …

Leaf disease detection using machine learning and deep learning: Review and challenges

C Sarkar, D Gupta, U Gupta, BB Hazarika - Applied Soft Computing, 2023 - Elsevier
Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …

Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease

M Shoaib, T Hussain, B Shah, I Ullah… - Frontiers in plant …, 2022 - frontiersin.org
Plants contribute significantly to the global food supply. Various Plant diseases can result in
production losses, which can be avoided by maintaining vigilance. However, manually …

Early detection and classification of tomato leaf disease using high-performance deep neural network

NK Trivedi, V Gautam, A Anand, HM Aljahdali, SG Villar… - Sensors, 2021 - mdpi.com
Tomato is one of the most essential and consumable crops in the world. Tomatoes differ in
quantity depending on how they are fertilized. Leaf disease is the primary factor impacting …

[HTML][HTML] Smart agriculture applications using deep learning technologies: A survey

M Altalak, M Ammad uddin, A Alajmi, A Rizg - Applied Sciences, 2022 - mdpi.com
Agriculture is considered an important field with a significant economic impact in several
countries. Due to the substantial population growth, meeting people's dietary needs has …

[HTML][HTML] Tomato leaf disease diagnosis based on improved convolution neural network by attention module

S Zhao, Y Peng, J Liu, S Wu - Agriculture, 2021 - mdpi.com
Crop disease diagnosis is of great significance to crop yield and agricultural production.
Deep learning methods have become the main research direction to solve the diagnosis of …

Plant disease detection using machine learning approaches

I Ahmed, PK Yadav - Expert Systems, 2023 - Wiley Online Library
Plant health care is the science of anticipating and diagnosing the advent of life‐threatening
diseases in plants. The fatality rate of plants can be reduced by diagnosing them for any …

A novel framework for image-based plant disease detection using hybrid deep learning approach

A Chug, A Bhatia, AP Singh, D Singh - Soft Computing, 2023 - Springer
The agriculture sector contributes significantly to the economic growth of a country.
However, plant diseases are one of the leading causes of crop destruction that decreases …

Automatic recognition of rice leaf diseases using transfer learning

CG Simhadri, HK Kondaveeti - Agronomy, 2023 - mdpi.com
Rice, the world's most extensively cultivated cereal crop, serves as a staple food and energy
source for over half of the global population. A variety of abiotic and biotic factors such as …

[HTML][HTML] Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves

I Bouacida, B Farou, L Djakhdjakha, H Seridi… - Information Processing …, 2024 - Elsevier
One of the most serious threats to global food security is plant diseases compromising
agricultural productivity and threatening the livelihoods of millions. These diseases can …