Abstract

and soil chemical features [18]. The chemical measurements of the soil, such as manganese, organic matter, phosphorus, nitrogen, potassium, and soil pH, are used to recommend appropriate amounts of fertilizers and preferred crops [19, 20]. Kiran et al. take parameters such as climate, soil category, water density, chemical fertilizers, compost, and crop data collection to improve the production of crops [21].

 

Numerous researchers have endeavoured to forecast crop cultivation by employing soil classification methodologies. In a study by Cai et al., salt-affected soil was classified using an enhanced SVM classifier. The data for SVM classification was derived from multi-spectral characteristics and texture features. The researchers selected optimal texture features, including mean, variance, and homogeneity, to improve the accuracy of the classification process [22]. Jiang et al. (2024) present a detailed study on the changes in regional cropping structures over time and space and the factors that drive these 

Keyword

Renewable energy; Power grid; Power grid integration; PQ; UPQC; DVR

Cite this article

Cite this Article

Refference

[1]Obi Y, Claudio KS, Budiman VM, Achmad S, Kurniawan A. Sign language recognition system for communicating to people with disabilities. Procedia Computer Science. 2023; 216:13-20.

[2]Riad AM, Elminir HK, Shohieb SM. Hand gesture recognition system based on a geometric model and rule based classifier. British Journal of Applied Science & Technology. 2014; 4(9):1432-44.

[3]Mariappan HM, Gomathi V. Real-time recognition of Indian sign language. In international conference on computational intelligence in data science (ICCIDS) 2019 (pp. 1-6). IEEE.

[4]Wu J, Sun L, Jafari R. A wearable system for recognizing American sign language in real-time using IMU and surface EMG sensors. IEEE Journal of Biomedical and Health Informatics. 2016; 20(5):1281-90.

[5]Rekha J, Bhattacharya J, Majumder S. Hand gesture recognition for sign language: a new hybrid approach. In proceedings of the international conference on image processing, computer vision, and pattern recognition (IPCV) 2011 (pp. 1-7). WorldComp.

[6]Huu PN, Phung NT. Hand gesture recognition algorithm using SVM and HOG model for control of robotic system. Journal of Robotics. 2021; 2021:1-3.

[7]Ismail MH, Dawwd SA, Ali FH. A review on Arabic sign language recognition. Journal of Advances in Computer and Electronics Engineering. 2021; 6(12):1-12.

[8]Michele A, Colin V, Santika DD. Mobilenet convolutional neural networks and support vector machines for palmprint recognition. Procedia Computer Science. 2019; 157:110-7.

[9]Carney M, Webster B, Alvarado I, Phillips K, Howell N, Griffith J, et al. Teachable machine: approachable web-based tool for exploring machine learning classification. In extended abstracts of the 2020 CHI conference on human factors in computing systems 2020 (pp. 1-8). ACM.