[PDF][PDF] Computer vision-based plant leaf disease recognition using deep learning

N Sultana, T Rahman, N Parven… - International Journal of …, 2020 - academia.edu
Computer vision-based applications play a vital role in the era of computer science and
engineering. Now-a-days peoples are facing different problems in agricultural fields to …

Using Deep Convolutional Neural Networks for Image‐Based Diagnosis of Nutrient Deficiencies in Rice

Z Xu, X Guo, A Zhu, X He, X Zhao… - Computational …, 2020 - Wiley Online Library
Symptoms of nutrient deficiencies in rice plants often appear on the leaves. The leaf color
and shape, therefore, can be used to diagnose nutrient deficiencies in rice. Image …

A light weight Deep Convolutional Neural network model for plant disease identification

A Shrotriya, AK Sharma, N Pradhan… - 2023 International …, 2023 - ieeexplore.ieee.org
Identification of various plant diseases often prove to be a challenging task, mainly due to
the extremely vast domain of diseases available in images of leaves and it's processing …

Machine Learning-Based Approach for Nutrient Deficiency Identification in Plant Leaf

PP Pawade, AS Alvi - Intelligent Systems: Proceedings of SCIS 2021, 2021 - Springer
Each nutrient in the plant typically indicates a certain deficiency on their leaves with
distinguished varied patterns which results in an adversarial side effect in the crop …

Application of Machine Learning and Internet of Things for Identification of Nutrient Deficiencies in Oil Palm

R Mahendran, SN Tadiboina… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
Several products derived from oil palm trees are sold commercially, bringing in money for
the country and the people that live there. Because of this, the land available for oil palm …

Vision-based analysis on leaves of tomato crops for classifying nutrient deficiency using convolutional neural networks

C Cevallos, H Ponce, E Moya-Albor… - 2020 International Joint …, 2020 - ieeexplore.ieee.org
Tomato crops are one of the most important agricultural products at economic level in the
world. However, the quality of the tomato fruits is highly dependent to the growing conditions …

Deep Learning For Identification Of Plantnutrient Deficiencies

M Lavanya, MK Devi, MS Vani - Journal of Pharmaceutical Negative …, 2022 - pnrjournal.com
This paper's goal is to identify nutrient deficiencies in crops by merely taking a photograph of
their leaves. The image analysis technique can identify nutrient deficiencies in the plant by …

Ensemble averaging of transfer learning models for identification of nutritional deficiency in rice plant

M Sharma, K Nath, RK Sharma, CJ Kumar… - Electronics, 2022 - mdpi.com
Computer vision-based automation has become popular in detecting and monitoring plants'
nutrient deficiencies in recent times. The predictive model developed by various researchers …

Identification of Diseases for Tomato Leaves Using AlexNet

S Jangir, MK Jain, P Jajoo… - 2022 IEEE Conference on …, 2022 - ieeexplore.ieee.org
Plants are the key source of human energy generation and have nutritional, therapeutic, and
other benefits. Plant diseases cause a significant loss in crop productivity, and manually …

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 …