Classification and Segmentation of Leaf Images based on Deep Learning for Peanut Plant Disease Detection

Authors: Ebenezer, V., Daniel, Arsha Anna, Lillipushpam, P. Getzi Jeba, Edwin, E.Bijolin, Thanka, M. Roshni, Devassy, Rosebel

Source: 2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC) Electronics and Sustainable Communication Systems (ICESC), 2023 4th International Conference on. :1414-1420 Jul, 2023

Relation: 2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)

Majority voting transfer learning CNN for peanut leaf types identification

Authors: Nafiiyah, Nur, Fatonah, Nenden Siti, Wardhani, Retno, Jokonowo, Bambang, Siswa, Taghfirul Azhmi Yoga

Source: 2022 3rd International Conference on Electrical Engineering and Informatics (ICon EEI) Electrical Engineering and Informatics (ICon EEI), 2022 3rd International Conference on. :70-74 Oct, 2022

Relation: 2022 3rd International Conference on Electrical Engineering and Informatics (ICon EEI)

Efficient Deployment of Peanut Leaf Disease Detection Models on Edge AI Devices

Authors: Zekai Lv, Shangbin Yang, Shichuang Ma, Qiang Wang, Jinti Sun, Linlin Du, Jiaqi Han, Yufeng Guo, Hui Zhang

Source: Agriculture, Vol 15, Iss 3, p 332 (2025)

Subject Terms: YOLOX-Tiny, Jetson board, peanut leaf diseases, TensorRT, TensorFlow Lite, efficient deployment optimization, Agriculture (General), S1-972

File Description: electronic resource

Relation: https://www.mdpi.com/2077-0472/15/3/332; https://doaj.org/toc/2077-0472

Access URL: https://doaj.org/article/168d7953e61d41ae94b39be8e60d7c6d

Automatic irrigation and worm detection for peanut field using Raspberry pi with OpenCV

Authors: Nagarasu, B., Manimegalai, M.

Source: 2016 Online International Conference on Green Engineering and Technologies (IC-GET) Green Engineering and Technologies (IC-GET), 2016 Online International Conference on. :1-5 Nov, 2016

Relation: 2016 Online International Conference on Green Engineering and Technologies (IC-GET)

Construction and Validation of Peanut Leaf Spot Disease Prediction Model Based on Long Time Series Data and Deep Learning

Authors: Zhiqing Guo, Xiaohui Chen, Ming Li, Yucheng Chi, Dongyuan Shi

Source: Agronomy, Vol 14, Iss 2, p 294 (2024)

Subject Terms: convolutional neural network, disease prediction, long short-term memory, peanut leaf spot, SE attention mechanism, Agriculture

File Description: electronic resource

Relation: https://www.mdpi.com/2073-4395/14/2/294; https://doaj.org/toc/2073-4395

Access URL: https://doaj.org/article/7a96d17100f746cd93813a9a8c057a64

scRNA-seq Reveals the Mechanism of Fatty Acid Desaturase 2 Mutation to Repress Leaf Growth in Peanut (Arachis hypogaea L.)

Authors: Puxuan Du, Quanqing Deng, Wenyi Wang, Vanika Garg, Qing Lu, Lu Huang, Runfeng Wang, Haifen Li, Dongxin Huai, Xiaoping Chen, Rajeev K. Varshney, Yanbin Hong, Hao Liu

Source: Cells, Vol 12, Iss 18, p 2305 (2023)

Subject Terms: scRNA-seq, peanut leaf, FAD2, oleic acids, gene atlases, Cytology, QH573-671

File Description: electronic resource

Relation: https://www.mdpi.com/2073-4409/12/18/2305; https://doaj.org/toc/2073-4409

Access URL: https://doaj.org/article/ab87bf26a0c1428e8f339e676d047016

Corrigendum: Peanut Leaf Wilting Estimation From RGB Color Indices and Logistic Models

Authors: Sayantan Sarkar, A. Ford Ramsey, Alexandre-Brice Cazenave, Maria Balota

Source: Frontiers in Plant Science, Vol 12 (2022)

Subject Terms: peanut leaf wilting, RGB color space indices, logistic regression, machine learning, high-throughput phenotyping, Plant culture, SB1-1110

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2021.821325/full; https://doaj.org/toc/1664-462X

Access URL: https://doaj.org/article/b8acefca18e04e2b8addb0038832a0ed

Peanut Leaf Wilting Estimation From RGB Color Indices and Logistic Models

Authors: Sayantan Sarkar, A. Ford Ramsey, Alexandre-Brice Cazenave, Maria Balota

Source: Frontiers in Plant Science, Vol 12 (2021)

Subject Terms: peanut leaf wilting, RGB color space indices, logistic regression, machine learning, high-throughput phenotyping, Plant culture, SB1-1110

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2021.658621/full; https://doaj.org/toc/1664-462X

Access URL: https://doaj.org/article/778772cf30c14752a4eaad729ee51a8a

Automatic Identification of Peanut-Leaf Diseases Based on Stack Ensemble

Authors: Haixia Qi, Yu Liang, Quanchen Ding, Jun Zou

Source: Applied Sciences, Vol 11, Iss 4, p 1950 (2021)

Subject Terms: peanut-leaf diseases, deep learning, convolutional neural network, identification, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

File Description: electronic resource

Relation: https://www.mdpi.com/2076-3417/11/4/1950; https://doaj.org/toc/2076-3417

Access URL: https://doaj.org/article/236e318e7f1243c68f97c9d7efd1daa4