Xuejun Zhang^1,#, Muhammad Amjad Bashir^2,#, Qurat-Ul-Ain Raza³, Xiaotong Liu¹, Jianhang Luo¹, Ying Zhao¹, Qiuliang Lei⁴, Hafiz Muhammad Ali Raza^2,3, Abdur Rehim^2,3, Yucong Geng⁴, Hongbin Liu^4,*

Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1349-1360, 2023, DOI:10.32604/phyton.2023.026952

Abstract

The rapidly growing world population, water shortage, and food security are promising problems for sustainable agriculture. Farmers adopt higher irrigation and fertilizer applications to increase crop production resulting in environmental pollution. This study aimed to identify the long-term effects of intelligent water and fertilizers used in corn yield and soil nutrient status. A series of field experiments were conducted for six years with treatments as: farmer accustomed to fertilization used as control (CON), fertilizer decrement (KF), fertilizer decrement + water-saving irrigation (BMP1); combined application of organic and inorganic fertilizer + water-saving irrigation (BMP2), and combined application of controlled-release fertilizer (BMP3).… More >

P. Sumathi^1,*, V. V. Karthikeyan², M. S. Kavitha³, S. Karthik³

Computer Systems Science and Engineering, Vol.45, No.2, pp. 1545-1559, 2023, DOI:10.32604/csse.2023.027580

Abstract Soil is the major source of infinite lives on Earth and the quality of soil plays significant role on Agriculture practices all around. Hence, the evaluation of soil quality is very important for determining the amount of nutrients that the soil require for proper yield. In present decade, the application of deep learning models in many fields of research has created greater impact. The increasing soil data availability of soil data there is a greater demand for the remotely avail open source model, leads to the incorporation of deep learning method to predict the soil quality. With that concern, this… More >

Haijun Sun^1,2, Paramsothy Jeyakumar³, Hongdong Xiao², Xuewen Li², Jiayou Liu², Min Yu², Prabal Bir Jung Rana¹, Weiming Shi^2,4,*

Phyton-International Journal of Experimental Botany, Vol.91, No.1, pp. 197-206, 2022, DOI:10.32604/phyton.2022.016492

Abstract

There are few evidences on the effect of biochar on vegetable yield, nitrogen (N) and phosphorus (P) leaching losses under intensive vegetable production soil. The current field plot scale study evaluated responses of Chinese cabbage (Brassica oleracea L.) yield, N and P leaching losses using five N treatments of common N application rate according to local farmers’ practice (N100%), reducing 20% or 40% N fertilizer (N80% and N60%), and reducing 40% N fertilizer but incorporating 10 or 20 t/ha biochar (N60% + BC10 and N60% + BC20). Results showed that N80% and N60% decreased both the cabbage economic and leaf… More >