Smart agriculture: A literature review

D Garg, M Alam - Journal of Management Analytics, 2023 - Taylor & Francis
Industry 4.0 brings revolutionary changes to farming businesses by integrating emerging
technologies such as the Internet of things (IoT), big data analytics (BDA), cloud computing …

Leaf analysis based early plant disease detection using Internet of Things, Machine Learning and Deep Learning: A comprehensive review

SR Prasad, GS Thyagaraju - Journal of Integrated Science …, 2024 - pubs.thesciencein.org
In agriculture, the timely identification of plant diseases is vital for reducing crop loss,
ensuring high-quality yields, and fostering sustainable farming practices. The agricultural …

[HTML][HTML] Sustainable apple disease management using an intelligent fine-tuned transfer learning-based model

A Sulaiman, V Anand, S Gupta, H Alshahrani… - Sustainability, 2023 - mdpi.com
Apple foliar diseases are a group of diseases that affect the leaves of apple trees. These
diseases can significantly impact apple tree health and fruit yield. Ordinary apple foliar …

[HTML][HTML] Evaluation of rice bacterial blight severity from lab to field with hyperspectral imaging technique

X Bai, Y Zhou, X Feng, M Tao, J Zhang… - Frontiers in Plant …, 2022 - frontiersin.org
Hyperspectral imaging technique combined with machine learning is a powerful tool for the
evaluation of disease phenotype in rice disease-resistant breeding. However, the current …

[PDF][PDF] An effective crop recommendation method using machine learning techniques

D Garg, M Alam - International Journal of Advanced Technology …, 2023 - researchgate.net
The soil plays a vital role in agriculture, and soil testing serves as the initial step in
determining the optimal nutrient levels for cultivating specific crops. Machine learning (ML) …

Leveraging Inception V3 for Precise Early and Late Blight Disease Classification in Potato Crops.

M Dutta, D Gupta, Y Gulzar, MS Mir… - Traitement du …, 2024 - search.ebscohost.com
The global significance of potato (Solanum tuberosum) as a staple food necessitates
innovative approaches to safeguard its production against detrimental fungal pathogens …

An Analysis of Identification of Plant Leaf Diseases and Classification Using Machine Learning and Computer Vision

A Sethy, Y Surya Prakash, U Archana… - … conference on smart …, 2023 - Springer
Agriculture is a significant source of revenue for Indians. Farmers can grow a wide range of
crops. However, crop growth is hampered by illnesses. Plant pests are one of the reasons …

Emerging Trends in Deep Learning Models for Plant Disease Detection: A Review

K Sonu Varghese, R Satheesh Kumar - International Conference on …, 2018 - Springer
Continuous technological evolution leads to automated and dynamic agricultural sector, and
reduced human effort for enhanced crop production. Automatic detection of plant disease …