Hakutulokset - Muhammad Sohail Memon

A Comprehensive Review of LiDAR Applications in Crop Management for Precision Agriculture Tekijä Sheikh Muhammad Farhan, Jianjun Yin, Zhijian Chen, Muhammad Sohail Memon

Hae kokoteksti

Adaptive meta-modeling of evapotranspiration in arid agricultural regions of Saudi Arabia using climatic factors, drought indices and MODIS data Tekijä Osama Elsherbiny, Salah Elsayed, Obaid Aldosari, Muhammad Sohail Memon, Ahmed Elbeltagi

Hae kokoteksti

Revolutionizing Agriculture: Real-Time Ripe Tomato Detection With the Enhanced Tomato-YOLOv7 System Tekijä Jun Guo, Yue Yang, Xinyan Lin, Muhammad Sohail Memon, Wei Liu, Meiqi Zhang, Enhui Sun

Hae kokoteksti

Estimating rice yield under different wheat residue coverage levels using multispectral Gaofen satellite data and remote sensing indices Tekijä Muhammad Sohail Memon, Shuren Chen, Jun Guo, Babar Iqbal, Zhiqiang Du, Mohamed Farag Taha, Noreena Memon

Hae kokoteksti

Evaluating the Efficacy of Sentinel-2B and Landsat-8 for Estimating and Mapping Wheat Straw Cover in Rice–Wheat Fields Tekijä Muhammad Sohail Memon, Shuren Chen, Yaxiao Niu, Weiwei Zhou, Osama Elsherbiny, Runzhi Liang, Zhiqiang Du, Xiaohu Guo

Hae kokoteksti

Soil carbon mineralization in response to nitrogen enrichment in surface and subsurface layers in two land use types Tekijä Nazia Perveen, Mariam Ayub, Tanvir Shahzad, Muhammad Rashid Siddiq, Muhammad Sohail Memon, Sébastien Barot, Hamid Saeed, Ming Xu

Hae kokoteksti

The application of proximal visible and near-infrared spectroscopy to estimate soil organic matter on the Triffa Plain of Morocco Tekijä Ayoub Lazaar, Abdul Mounem Mouazen, Kamal EL Hammouti, Michael Fullen, Biswajeet Pradhan, Muhammad Sohail Memon, Karim Andich, Abdelilah Monir

Hae kokoteksti

High-Throughput Analysis of Leaf Chlorophyll Content in Aquaponically Grown Lettuce Using Hyperspectral Reflectance and RGB Images Tekijä Mohamed Farag Taha, Hanping Mao, Yafei Wang, Ahmed Islam ElManawy, Gamal Elmasry, Letian Wu, Muhammad Sohail Memon, Ziang Niu, Ting Huang, Zhengjun Qiu

Hae kokoteksti

Estimating Chlorophyll Content, Production, and Quality of Sugar Beet under Various Nitrogen Levels Using Machine Learning Models and Novel Spectral Indices Tekijä Salah Elsayed, Salah El-Hendawy, Osama Elsherbiny, Abdelaziz M. Okasha, Adel H. Elmetwalli, Abdallah E. Elwakeel, Muhammad Sohail Memon, Mohamed E. M. Ibrahim, Hazem H. Ibrahim

Hae kokoteksti