Sumit Sow^1,#, Shivani Ranjan^1,#,*, Mahmoud F. Seleiman^2,3, Hiba M. Alkharabsheh^4,*, Mukesh Kumar¹, Navnit Kumar¹, Smruti Ranjan Padhan⁵, Dhirendra Kumar Roy¹, Dibyajyoti Nath⁶, Harun Gitari⁷, Daniel O. Wasonga⁸

Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1569-1598, 2024, DOI:10.32604/phyton.2024.052241 - 30 July 2024

Abstract Agriculture plays a crucial role in the economy, and there is an increasing global emphasis on automating agricultural processes. With the tremendous increase in population, the demand for food and employment has also increased significantly. Agricultural methods traditionally used to meet these requirements are no longer adequate, requiring solutions to issues such as excessive herbicide use and the use of chemical fertilizers. Integration of technologies such as the Internet of Things, wireless communication, machine learning, artificial intelligence (AI), and deep learning shows promise in addressing these challenges. However, there is a lack of comprehensive documentation… More >

Yixuan Yu, Yulin Wang^*, Qingcheng Li, Bowen Jiao

Energy Engineering, Vol.121, No.3, pp. 769-788, 2024, DOI:10.32604/ee.2023.044042 - 27 February 2024

Abstract The plug-in hybrid vehicles (PHEV) technology can effectively address the issues of poor dynamics and higher energy consumption commonly found in traditional mining dump trucks. Meanwhile, plug-in hybrid electric trucks can achieve excellent fuel economy through efficient energy management strategies (EMS). Therefore, a series hybrid system is constructed based on a 100-ton mining dump truck in this paper. And inspired by the dynamic programming (DP) algorithm, a predictive equivalent consumption minimization strategy (P-ECMS) based on the DP optimization result is proposed. Based on the optimal control manifold and the SOC reference trajectory obtained by the More >

M. Ashraf Ahangar¹, Shabir Hussain Wani^1,*, Zahoor A. Dar², Jan Roohi¹, Fayaz Mohiddin¹, Monika Bansal³, Mukesh Choudhary⁴, Sumit K. Aggarwal⁴, S. A. Waza¹, Khursheed Ahmad Dar⁵, Ayman El Sabagh^6,7, Celaleddin Barutcular⁸, Omer Konuşkan⁹, Mohammad Anwar Hossain^10,*

Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2111-2133, 2022, DOI:10.32604/phyton.2022.020721 - 30 May 2022

Abstract Maize is cultivated extensively throughout the world and has the highest production among cereals. However, Northern corn leaf blight (NCLB) disease caused by Exherohilum turcicum, is the most devastating limiting factor of maize production. The disease causes immense losses to corn yield if it develops prior or during the tasseling and silking stages of crop development. It has a worldwide distribution and its development is favoured by cool to moderate temperatures with high relative humidity. The prevalence of the disease has increased in recent years and new races of the pathogen have been reported worldwide. The… More >

Mahmoud F. Seleiman^1,2,#,*, Muhammad Talha Aslam^3,#, Bushra Ahmed Alhammad⁴, Muhammad Umair Hassan⁵, Rizwan Maqbool³, Muhammad Umer Chattha³, Imran Khan³, Harun Ireri Gitari⁶, Omer S. Uslu⁷, Rana Roy⁸, Martin Leonardo Battaglia⁹

Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 667-694, 2022, DOI:10.32604/phyton.2022.017365 - 09 December 2021

Abstract Salinity stress is a major threat to global food production and its intensity is continuously increasing because of anthropogenic activities. Wheat is a staple food and a source of carbohydrates and calories for the majority of people across the globe. However, wheat productivity is adversely affected by salt stress, which is associated with a reduction in germination, growth, altered reproductive behavior and enzymatic activity, disrupted photosynthesis, hormonal imbalance, oxidative stress, and yield reductions. Thus, a better understanding of wheat (plant) behavior to salinity stress has essential implications to devise counter and alleviation measures to cope… More >