Machine Learning Approach

D Das, U Sharma - … : Proceedings of ICICC 2024, Volume 4, 2001 - books.google.com
Nutrient deficiency symptoms often appear on plant leaf. However, from naked eye visibility
is not precisely correct. Traditional methods of nutrient assessment are often time …

Tomato leaf disease recognition on leaf images based on fine-tuned residual neural networks

PS Kanda, K Xia, A Kyslytysna, EO Owoola - Plants, 2022 - mdpi.com
Humans depend heavily on agriculture, which is the main source of prosperity. The various
plant diseases that farmers must contend with have constituted a lot of challenges in crop …

Plant leaf diseases classification using Deep Learning

H Arid, I Bellamine… - 2023 7th IEEE Congress …, 2023 - ieeexplore.ieee.org
As the world's population expands, securing global food security has taken on greater
importance. The early detection and prevention of plant diseases, which can have …

CNN Models for Identification of Macro-Nutrient Deficiency in Onion Leaves (Allium cepa L.)

LKB Navarro, KCH Mateo… - 2023 IEEE 5th Eurasia …, 2023 - ieeexplore.ieee.org
Onions are one of the most common vegetables in the agricultural industry in the
Philippines. However, nutrient deficiency affects the crop yield. One of the ways to determine …

Image Classification for Rice Leaf Disease Using AlexNet Model

LYW Lwin, AN Htwe - 2023 IEEE Conference on Computer …, 2023 - ieeexplore.ieee.org
As there are many countries that consume rice, rice is one of the most cultivated crops in the
world. In order to grow rice successfully, it is necessary to understand the stages of rice …

Computation Analysis of Multi-Class Plant Disease Diagnosis using Deep Learning Models

G Bakshi, S Goel - 2023 IEEE 2nd International Conference on …, 2023 - ieeexplore.ieee.org
Horticulture is the art of cultivating fruits and vegetables, forming the base of both health and
business. Despite replacing traditional methods, plant monitoring and disease diagnosis …

[PDF][PDF] Smart Nutrient Deficiency Prediction System for Groundnut Leaf.

J Malaisamy, J Rethnaraj - Intelligent Automation & Soft …, 2023 - researchgate.net
Prediction of the nutrient deficiency range and control of it through application of an
appropriate amount of fertiliser at all growth stages is critical to achieving a qualitative and …

Towards the Deployment of Deep Learning Solutions in Plant Nutrient Deficiency Identification and Classification

MV Appalanaidu, G Kumaravelan - 2023 5th International …, 2023 - ieeexplore.ieee.org
In recent years, identifying plant nutrient deficiency is considered a critical issue in smart
agriculture research. Identifying plant nutrient deficiency at an early stage will undoubtedly …

[PDF][PDF] Effective data augmentation and training techniques for improving deep learning in plant leaf disease recognition

P Enkvetchakul, O Surinta - Applied Science and Engineering …, 2021 - blog.bru.ac.th
Plant disease is the most common problem in agriculture. Usually, the symptoms appear on
leaves of the plants which allow farmers to diagnose and prevent the disease from …

Plant Disease Prediction Using Deep Learning in Smart Greenhouse

VN Jatinjayasimha, K Jyoti, Jasnavi, D Hegde… - ICT Systems and …, 2022 - Springer
The greenhouse is a structural system used to cultivate a variety of fruits, vegetables,
flowers, and other plants that requires special temperature and humidity conditions to …