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Evaluation of model generalization for growing plants using conditional learning

Artificial Intelligence in Agriculture 2022年第1期6卷 189-198页

作者： hafiz sami ullah Abdul Bais Electronic Systems Engineering Faculty of Engineering and Applied ScienceUniversity of ReginaReginaSaskatchewanCanada

This paper aims to solve the lack of generalization of existing semantic segmentation models in the crop and weed segmentation *** compare two training mechanisms,classical and adversarial,to understand which scheme works best for a particular encoder-decoder *** use simple U-Net,SegNet,and DeepLabv3+with ResNet-50 backbone as segmentation *** models are trained with cross-entropy loss for classical and PatchGAN loss for adversarial *** adopting the Conditional Generative Adversarial Network(CGAN)hierarchical settings,we penalize different Generators(G)using PatchGAN Discriminator(D)and L1 loss to generate segmentation *** generalization is to exhibit fewer failures and perform comparably for growing plants with different data *** utilize the images from four different stages of sugar *** divide the data so that the full-grown stage is used for training,whereas earlier stages are entirely dedicated to testing the *** conclude that U-Net trained in adversarial settings is more robust to changes in the *** adversarially trained U-Net reports 10%overall improvement in the results with mIOU scores of 0.34,0.55,0.75,and 0.85 for four different growth stages.

关键词： Weed detection Semantic segmentation Adversarial training Late germination Sugar beet Crop segmentation Growing plants Domain change

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Silicon Mediated Arsenic Reduction in Rice by Limiting Its Uptake

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Agricultural Sciences 2016年第1期7卷 1-10页

作者： Muhammad Mohsin Raza sami ullah Zulfiqar Ahmad Sohaib Saqib Sarfraz Ahmad hafiz Muhammad Bilal Farman Wali Arid Zone Research Institute (PARC) Bahawalpur Pakistan Department of Agronomy University of Agriculture Faisalabad Pakistan Institute of Soil and Environmental Sciences University of Agriculture Faisalabad Pakistan

This study was planned to examine the effects of exogenous silicon supply on growth parameters and arsenic accumulation level in rice. The experiment was conducted in the wire house of Saline Agriculture Research Centre, Institute of Soil and Environmental Science, University of Agriculture Faisalabad. The study was comprised of treatments viz: control;(100 μM Arsenic);(200 μM Arsenic);(5 mM Silicon);(5 mM Silicon + 100 μM Arsenic) and (5 mM Silicon + 200 μM Arsenic). Results revealed that maximum shoot fresh weight, shoot dry weight, root fresh weight and root dry weight were observed in (5 mM Si) solution. In the same way, maximum number of tillers was also recorded in (5 mM Si) solution;while silicon application failed to alleviate arsenic concentration of rice genotype.

关键词： Silicon Arsenic Rice Growth As Concentration in Plant

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