Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (5)
  • Open Access


    Internet of Things Based Smart Irrigation System Using ESP WROOM 32

    Krish R. Mehta, K. Jayant Naidu, Madhav Baheti, Dev Parmar, A. Sharmila*

    Journal on Internet of Things, Vol.5, pp. 45-55, 2023, DOI:10.32604/jiot.2023.043102

    Abstract Farming has been the most prominent and fundamental activity for generations. As the population has been multiplying exponentially, the demand for agricultural yield is growing relentlessly. Such high demand in production through traditional farming methodologies often falls short in terms of efficiency due to the limitations of manual labour. In the era of digitization, smart agricultural solutions have been emerging through the windows of Internet of Things and Artificial Intelligence to improve resource management, optimize the process of farming and enhance the yield of crops, hence, ensuring sustainable growth of the increasing production. By implementing… More >

  • Open Access


    Soil Moisture Rather than Soil Nutrient Regulates the Belowground Bud Bank of Rhizomatous Species Psammochloa villosa in Arid Sand Dunes

    Yawei Dong1, Ziyue Guo1, Qun Ma2, Zhiming Xin3, Jin Tao1, Jiatai Tian1, Jinlei Zhu3, Zhiming Zhang1,*, Jianqiang Qian1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1301-1309, 2023, DOI:10.32604/phyton.2023.027043

    Abstract In arid and semi-arid sand dune ecosystems, belowground bud bank plays an important role in population regeneration and vegetation restoration. However, the responses of belowground bud bank size and composition to sand burial and its induced changes in soil environmental factors have been rarely studied. In arid sand dunes of Northwestern China, we investigated belowground bud bank size and composition of the typical rhizomatous psammophyte Psammochloa villosa as well as three key soil environmental factors (soil moisture, total carbon and total nitrogen) under different depths of sand burial. Total buds and rhizome buds increased significantly with… More >

  • Open Access


    Optimization of Organic Mulches Thickness Improves Soil Moisture Retention under Controlled Conditions

    Jiayi Zhang1, Guohua Fu2, Zhiyang Jin3, Lihang Chi1, Guocheng Xu1, Daran Yue1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 841-857, 2022, DOI:10.32604/phyton.2022.017938

    Abstract Organic mulch can improve the moisture, chemical composition, dust, and dust suppression of soil, and beautify the environment. In view of the rapid evaporation rate and serious loss of soil water in tropical areas, this paper explored the effect of organic mulch materials with different thickness on the increase of soil water retention rate and the improvement of soil water loss caused by evaporation. Rubberwood sawdust (RWS), rubberwood bark (RWB), coconut fiber (CF), and Mulch (MC) were selected as the mulching materials. Field experiment and laboratory experiment were performed, and soil-moisture content and temperature were… More >

  • Open Access


    Soil Moisture Prediction in Peri-urban Beijing, China: Gene Expression Programming Algorithm

    Hongfei Niu1,2, Fanyu Meng3, Huanfang Yue3, Lihong Yang4, Jing Dong2,5, Xin Zhang2,5,*

    Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 93-106, 2021, DOI:10.32604/iasc.2021.010131

    Abstract Soil moisture is an important indicator for agricultural planting and agricultural water management. People have been trying to guide crop cultivation, formulate irrigation systems, and develop intelligent agriculture by knowing exactly what the soil moisture is in real time. This paper considers the impact of meteorological parameters on soil-moisture change and proposes a soil-moisture prediction method based on the Gene Expression Programming (GEP) algorithm. The prediction model is tested on datasets from Shunyi, Yanqing and Daxing agricultural farms, Beijing. The results show that the GEP model can predict soil moisture with a maximum correlation coefficient More >

  • Open Access


    Aboveground biomass and concentration of nutrients in semiarid rangeland plant species: Influence of grazing and soil moisture

    Gul B1, M Islam2, S Ahmad3, S Gul1

    Phyton-International Journal of Experimental Botany, Vol.85, pp. 94-99, 2016, DOI:10.32604/phyton.2016.85.094

    Abstract Spatial and temporal patterns of aboveground biomass and nutritive value of rangeland species with respect to the influence of grazing and soil moisture were investigated. The research was conducted during two years at the Tomagh Research Station, near Sanjawi, Ziarat District, Balochistan, Pakistan. This area is protected from grazing since 1998; however, some of the area is open for grazing. Three sites were selected for research purposes: a protected plain, a protected hilly, and an unprotected plain grazed area. Sampling was carried out during the spring, summer and autumn seasons. Results revealed that soil moisture More >

Displaying 1-10 on page 1 of 5. Per Page