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| 1 | A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting显示文摘The yield of cereal crops such as sorghum(Sorghum bicolor L.Moench)depends on the distribution of crop-heads in varying branching arrangements.Therefore,counting the head number per unit area is critical for plant breeders to correlate with the genotypic variation in a specific breeding field.However,measuring such phenotypic traitsmanually is an extremely labor-intensive process and suffers from low efficiency and human errors.Moreover,the process is almost infeasible for large-scale breeding plantations or experiments.Machine learning-based approaches like deep convolutional neural network(CNN)based object detectors are promising tools for efficient object detection and counting.However,a significant limitation of such deep learningbased approaches is that they typically require a massive amount of hand-labeled images for training,which is still a tedious process.Here,we propose an active learning inspired weakly supervised deep learning framework for sorghum head detection and counting from UAV-based images.We demonstrate that it is possible to significantly reduce human labeling effort without compromising final model performance(��2 between human count and machine count is 0.88)by using a semitrained CNN model(i.e.,trained with limited labeled data)to perform synthetic annotation.In addition,we also visualize key features that the network learns.This improves trustworthiness by enabling users to better understand and trust the decisions that the trained deep learning model makes. | Sambuddha Ghosal Bangyou Zheng Scott CChapman Andries BPotgieter David RJordan Xuemin Wang Asheesh KSingh Arti Singh Masayuki Hirafuji Seishi Ninomiya Baskar Ganapathysubramanian Soumik Sarkar Wei Guo | 2019 | Plant Phenomics2019，1，1： | 16 |
| 2 | Biochar and its importance on nutrient dynamics in soil and plant显示文摘Biochar,an environmentally friendly soil conditioner,is produced using several thermochemical processes.It has unique characteristics like high surface area,porosity,and surface charges.This paper reviews the fertilizer value of biochar,and its effects on soil properties,and nutrient use efficiency of crops.Biochar serves as an important source of plant nutrients,especially nitrogen in biochar produced from manures and wastes at low temperature(≤400℃).The phosphorus,potassium,and other nutrient contents are higher in manure/waste biochars than those in crop residues and woody biochars.The nutrient contents and pH of biochar are positively correlated with pyrolysis temperature,except for nitrogen content.Biochar improves the nutrient retention capacity of soil,which depends on porosity and surface charge of biochar.Biochar increases nitrogen retention in soil by reducing leaching and gaseous loss,and also increases phosphorus availability by decreasing the leaching process in soil.However,for potassium and other nutrients,biochar shows inconsistent(positive and negative)impacts on soil.After addition of biochar,porosity,aggregate stability,and amount of water held in soil increase and bulk density decreases.Mostly,biochar increases soil pH and,thus,influences nutrient availability for plants.Biochar also alters soil biological properties by increasing microbial populations,enzyme activity,soil respiration,and microbial biomass.Finally,nutrient use efficiency and nutrient uptake improve with the application of biochar to soil.Thus,biochar can be a potential nutrient reservoir for plants and a good amendment to improve soil properties. | Md Zahangir Hossain Md Mezbaul Bahar Binoy Sarkar Scott Wilfred Donne Young Sik Ok Kumuduni Niroshika Palansooriya Mary Beth Kirkham Saikat Chowdhury Nanthi Bolan | 2020 | Biochar2020，2，4： | 15 |
| 3 | Astrocyte elevated gene-1 regulates hepatocellular carcinoma development and progression显示文摘 | Yoo Byoung Kwon Emdad Luni Su Zao-zhong Villanueva Augusto Chiang Derek Y Mukhopadhyay Nitai D Mills Alan Scott Waxman Samuel Fisher Robert A Llovet Josep M Fisher Paul B Sarkar Devanand | 2009 | Journal of Clinical Investigation2009，，3： | 2 |
| 4 | Full-scale measurements to investigate wind-rain-induced cable-stay vibration and its mitigation 显示文摘 | Phelan R Sarkar Scott Mehta Partha P Kishor C | 2006 | Journal of Bridge Engineering2006，11，： | 1 |
| 5 | Seguin Form Board as an intelligence tool for young children in an Indian urban slum显示文摘Objective:The present study evaluates the concurrent and predictive validity of the Seguin Form Board Test(SFBT)as an intelligence tool for children in low-and middle-income countries.Methods:In a cohort of normal children,followed up in South India,two cross-sectional analyses were done at 3 and 7 years of age on 95 children.The SFBT and Vineland Social Matu-rity Scale(VSMS)were done at 3 years of age and Malin’s Intelligence Scale for Indian Children(MISIC)and the VSMS were done at 7 years of age,and the results were compared for concurrent and predictive validity for the SFBT.Results:Intelligence quotient and social quotient had positive correlations at 3 years of age,indicating fair concurrent validity.The SFBT done at around 3 years of age had good positive cor-relation with MISIC at 7 years of age,indicating good predictive validity.Conclusion:This study shows the utility of the SFBT as a community-based intelligence tool with acceptable concurrent and predictive validity. | Beena Koshy Hannah Mary Thomas T Prasanna Samuel Rajiv Sarkar Scott Kendall Gagandeep Kang | 2017 | Family Medicine and Community Health2017，5，4： | 0 |
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