Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming

TA Shaikh, T Rasool, FR Lone - Computers and Electronics in Agriculture, 2022 - Elsevier
The digitalization of data has resulted in a data tsunami in practically every industry of data-
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …

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 …

DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection

V Sharma, AK Tripathi, H Mittal - Ecological informatics, 2023 - Elsevier
Plant-leaf disease detection is one of the key problems of smart agriculture which has a
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …

A review on machine learning and deep learning image-based plant disease classification for industrial farming systems

P Sajitha, AD Andrushia, N Anand, MZ Naser - Journal of Industrial …, 2024 - Elsevier
Plants can be affected by various diseases. As such, the early detection of crop diseases
plays an essential role in the farming industry. However, such detection requires extensive …

[HTML][HTML] Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network

P Bedi, P Gole - Artificial Intelligence in Agriculture, 2021 - Elsevier
Plants are susceptive to various diseases in their growing phases. Early detection of
diseases in plants is one of the most challenging problems in agriculture. If the diseases are …

[HTML][HTML] DeepCrop: Deep learning-based crop disease prediction with web application

MM Islam, MAA Adil, MA Talukder… - Journal of Agriculture …, 2023 - Elsevier
Agriculture plays a significant role in every nation's economy by producing crops. Plant
disease identification is one of the most important aspects of maintaining an agriculturally …

Machine learning for smart agriculture and precision farming: towards making the fields talk

TA Shaikh, WA Mir, T Rasool, S Sofi - Archives of Computational Methods …, 2022 - Springer
In almost every sector, data-driven business, the digitization of the data has generated a
data tsunami. In addition, man-to-machine digital data handling has magnified the …

[HTML][HTML] Multi-level deep learning model for potato leaf disease recognition

J Rashid, I Khan, G Ali, SH Almotiri, MA AlGhamdi… - Electronics, 2021 - mdpi.com
Potato leaf disease detection in an early stage is challenging because of variations in crop
species, crop diseases symptoms and environmental factors. These factors make it difficult …

Plant diseases recognition on images using convolutional neural networks: A systematic review

A Abade, PA Ferreira, F de Barros Vidal - Computers and Electronics in …, 2021 - Elsevier
Plant diseases are considered one of the main factors influencing food production and
minimize losses in production, and it is essential that crop diseases have fast detection and …

Identification of rice plant diseases using lightweight attention networks

J Chen, D Zhang, A Zeb, YA Nanehkaran - Expert Systems with …, 2021 - Elsevier
Rice is one of the most important crops in the world, and most people consume rice as a
staple food, especially in Asian countries. Various rice plant diseases have a negative effect …