Muhammad Zain

Integrating drip fertigation and nitrification inhibitors for rhizosphere-scale control of nitrogen transformations

Muhammad Zain, Sheheryar Khan, Hongjun Lei, Abdul Ghafoor

Reactive nitrogen (Nr) losses from fertilized agricultural soils remain one of the dominant drivers of groundwater nitrate contamination and nitrous oxide (N 2 O) emissions, yet mitigation strategies are largely designed around input optimization rather than control of in-soil nitrogen transformations. Drip …

cn, sa (code pays fourni par la source)

Optimizing the fertilizer N rates at different irrigation levels for optimum yield of wheat and corn at reduced nitrate leaching losses

Muhammad Tahir, D. J. Mulla, Muhammad Zain, Saliha Maqbool et autres

Abstract Optimum irrigation and fertilizer nitrogen (N) rates are important to improve crop yield at reduced environmental risks in the form of NO3-N leaching losses, without any financial loss. The study aimed to investigate the impact of rational irrigation and nitrogen management …

us, pk, cn, tr (code pays fourni par la source)

Growth curve parameters of AGB estimated from multi-source remote sensing data enhance wheat yield prediction accuracy

Dongwei Han, Weijun ZHANG, Muhammad Zain, Shaolong Zhu et autres

Global Meta‐Analysis of Effects of Aerated Irrigation on Nitrogen Use Efficiency and Crop Yield

Shaobo Wang, Muhammad Zain, Hongjun Lei

ABSTRACT Soil oxygen availability plays a critical role in regulating nitrogen (N) transformation processes. However, a comprehensive understanding of how aerated irrigation (AI) affects nitrogen use efficiency (NUE) across diverse environmental conditions and management practices remains lacking. A meta‐analysis and mixed‐effects models …

cn (code pays fourni par la source)

The effects of aerated irrigation on crop yield and fruit quality: A meta-analysis

Shaobo Wang, Yingji Lian, Hongwei Pan, Muhammad Zain et autres

Aeration irrigation (AI) is a promising method for improving crop quality and efficiency. Based on 156 peer-reviewed articles encompassing 1294 data pairs, this meta-analysis quantified the effects of AI on yield, yield components, and fruit quality. The results showed that AI significantly …

cn (code pays fourni par la source)

UAV Hyperspectral Remote Sensing for Wheat CSPAD Estimation Model Based on Fusion of Spectral Parameters

Dongwei Han, Weijun Zhang, Muhammad Zain, Jianliang Wang et autres

Wheat canopy chlorophyll content (CSPAD) is an important physiological parameter characterizing the photosynthetic capacity and nutritional status of crops. Precision agricultural technologies are widely used for non-destructive monitoring of wheat SPAD, but the SPAD inversion models have limitations due to the incorporation …

cn, jp (code pays fourni par la source)

Wheat biomass estimation by fusing color index and canopy volume based on UAV RGB images

Zhaosheng Yao, Dongwei Han, Ruimin Shao, Hainie Zha et autres

cn, de (code pays fourni par la source)

Solar-Powered Variable Frequency Drive (VFD) Based Flour Grinding System

Muhammad Zain, Muhammad Ahmad, Muhammad Abdullah, Hamza Ahmad Raza et autres

Pakistan agricultural sector forms the backbone of its economy, with wheat being the staple crop, processed predominantly through small-scale flour grinders (Aata Chakkis). Alongside wheat, other grains such as maize (corn), barley, millet, rice, and chickpeas are also ground in these mills …

pk (code pays fourni par la source)