Alinteri Journal of Agriculture Sciences最新文献_第4页

IoT based Soil Quality Monitoring for An Efficient Irrigation 基于物联网的高效灌溉土壤质量监测

Alinteri Journal of Agriculture Sciences Pub Date : 2021-07-13 DOI: 10.47059/ALINTERI/V36I2/AJAS21110

M. Shyamsunder, V. Mohan

{"title":"IoT based Soil Quality Monitoring for An Efficient Irrigation","authors":"M. Shyamsunder, V. Mohan","doi":"10.47059/ALINTERI/V36I2/AJAS21110","DOIUrl":"https://doi.org/10.47059/ALINTERI/V36I2/AJAS21110","url":null,"abstract":"The yield of agriculture primarily depends on the soil moisture, soil fertility and the use of suitable fertilizers. The method of manually measuring the soil nutrients is inaccurate in the current scenario due to laps between soil samples collected at the field and measuring in the laboratory. IoT has made changes in so many fields to monitor the data remotely despite of existing wireless technologies like Zigbee, GSM, etc. In this work an effort is made to collect the data related to various soil nutrients from agriculture filed using multiple sensors. Once the data is monitored and collected at the control center helps to apply a machine algorithms to take the appropriate decision for an efficient crop yield. In the proposed system, the sensors connected to the node at the field measures the macro nutrients of the soil, temperature and humidity of the soil. The nutrition majorly required for the growth of the plant is nitrogen (N), potassium (K), and phosphorous (P) amount present in the soil. In this work a microcontroller with WiFi is used to interface various sensors and display the measured value in the LCD. This application will provide a user interface to monitor the fertilizers, irrigation and humidity control.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88045695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Method for Measuring the Similarity of Multiple Metrological Sequences in the Key Phenological Phase of Rice-based on Dynamic Time 基于动态时间的水稻关键物候期多个计量序列相似性测量方法

Alinteri Journal of Agriculture Sciences Pub Date : 2021-07-13 DOI: 10.47059/ALINTERI/V36I2/AJAS21112

Z. Khan, M. Khubrani, Shadab Alam, S. Hui, Yuge Wang

{"title":"Method for Measuring the Similarity of Multiple Metrological Sequences in the Key Phenological Phase of Rice-based on Dynamic Time","authors":"Z. Khan, M. Khubrani, Shadab Alam, S. Hui, Yuge Wang","doi":"10.47059/ALINTERI/V36I2/AJAS21112","DOIUrl":"https://doi.org/10.47059/ALINTERI/V36I2/AJAS21112","url":null,"abstract":"The automatic classification of historical data of myriad diverse meteorological sequences in the annual period can help to find the climate differences through key phenology of rice. In this paper, a hybrid gradients-shape dynamic time warping (HGSDTW) algorithm is proposed to measure the similarity of meteorological data during the diverse rice growth period at various locations. The weighting calculation of Euclidean distance uses the form factor in the rice jointing and heading stage. The distance matrix constructs first & second-level gradient single-factor transformation sequences during the period. The dynamic programming method obtains the similarity distances of single and multiple meteorological factors. The results show that the classification accuracy rate from HGSDTW of the heading & jointing stage is higher than that of other similar algorithms. Furthermore, it can observe that the clustering number increases the classification accuracy, and the HGSDTW algorithm maintains the accuracy of 14% for varieties of rice at diverse locations to multiple years of jointing. Besides, the automatic classification experiment of sequence period shows that the classification accuracy of this method is higher than that of another similarity measure. The classification accuracy rate of the heading stage sequence is 10%~14% higher than that of a similar previous standard measurement algorithm, and the jointing period is 1%~9% higher. In this case, the cluster number increasing the classification accuracy, and the HGSDTW maintain the overall accuracy of 14%. Thus, this method can be effectively combined with the classification algorithm to improve the efficiency of the automatic classification of multi-weather sequence data in key phenological periods of rice.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82305019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Preliminary Investigation on Performance of Multicompartment Sand Filter for Treatment of Grey-Water 多室砂滤机处理灰水性能的初步研究

Alinteri Journal of Agriculture Sciences Pub Date : 2021-07-13 DOI: 10.47059/ALINTERI/V36I2/AJAS21108

C. Waghmare, Prajakta R Pazare, K. Ansari

引用次数: 0

The Effect of Hormone Treatments on Germination and Seedling Characters of Sage (Salvia officinalis L.) Seeds 激素处理对鼠尾草发芽及幼苗性状的影响种子

Alinteri Journal of Agriculture Sciences Pub Date : 2021-07-13 DOI: 10.47059/ALINTERI/V36I2/AJAS21115

Ezgi Gur

{"title":"The Effect of Hormone Treatments on Germination and Seedling Characters of Sage (Salvia officinalis L.) Seeds","authors":"Ezgi Gur","doi":"10.47059/ALINTERI/V36I2/AJAS21115","DOIUrl":"https://doi.org/10.47059/ALINTERI/V36I2/AJAS21115","url":null,"abstract":"Medicinal Sage is consumed as tea in sore throat and kidney diseases caused by cold and flu. It also has sedative, diuretic, antiperspirant and disinfectant effects. Thujone, which is found in the essential oil of Salvia officinalis species, is an essential oil component with very strong antiseptic and antibiotic effects. Sage (Salvia officinalis), which is a medicinal and an aromatic plant and has a wide area of usage, is cultivated due to these properties. However, the most critical cost item in the production of sage is the weeding done in the first years. The understory weeding done without using herbicides continues until the sage seedlings shield the soil and prevent the development of other herbs. The aim of this research was to determine the effects of hormone treatment on germination success and seedling morphological characters in sage seeds. Within the scope of this research, sage seeds were planted by being exposed to IAA, IBA, GA3 and NAA hormones at 1000, 2500 and 5000 ppm concentrations for 3 to 5 seconds and at 50, 100 and 200 ppm doses for 24 hours, and thus 26 applications were performed together with the control groups. The seeds were planted in sterile peat medium after the hormone treatments, and the effect of hormone treatments on the germination percentage and some seedling characters was tried to be found after 30 days of germination. As a result of the research, it was found that the hormone treatments positively affected most of seedling characters.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73618048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Detection of Disease in Maize Plant Using Deep Learning 基于深度学习的玉米病害检测

Alinteri Journal of Agriculture Sciences Pub Date : 2021-07-13 DOI: 10.47059/ALINTERI/V36I2/AJAS21118

Dr.B. Rama Subba Reddy, D. G. Madhavi, C. H. S. Lakshmi, Dr.K. Venkata Nagendra, DR. R. Sri̇devi̇

引用次数: 0

A Comprehensive Study on Intelligence System for Automatize Event Tracker System Using Learning Method 基于学习方法的事件跟踪系统自动化智能系统综合研究

Alinteri Journal of Agriculture Sciences Pub Date : 2021-07-13 DOI: 10.47059/ALINTERI/V36I2/AJAS21111

Balakrishnan Natarajan, Dr.A. Vanitha

引用次数: 0

Grounding of Design and Technology Parameters of Combined Coulter Furrow Opener of Precision Seed Drill 精密播种机联合开沟器设计与工艺参数探讨

Alinteri Journal of Agriculture Sciences Pub Date : 2021-07-13 DOI: 10.47059/ALINTERI/V36I2/AJAS21114

A. Dmytro, Sviren Mykola, Onopa Volodymyr, Deikun Viktor, Majara Vitaliy

{"title":"Grounding of Design and Technology Parameters of Combined Coulter Furrow Opener of Precision Seed Drill","authors":"A. Dmytro, Sviren Mykola, Onopa Volodymyr, Deikun Viktor, Majara Vitaliy","doi":"10.47059/ALINTERI/V36I2/AJAS21114","DOIUrl":"https://doi.org/10.47059/ALINTERI/V36I2/AJAS21114","url":null,"abstract":"A formation of a seedbed is an important step during seed sowing process. A quality of seedbed formation influences on seeds distribution along both a row and a depth and is triggering the opportunity to obtain early and even sprouts. The design of the furrow opener is the main element that has a direct impact on the qualitative formation of seedbed and technological parameters of coulter operation. During the research, there has been analyzed the modern construction of precision seed drills coulters and specified advantages and disadvantages of their operation. It has been established that the most advanced are coulters having a working section with a combined angle (sharp and obtuse) of entry into the soil. The attained results afforded to develop an improved design of the coulter furrow opener of the precision seed drill. There was brought forward a combined wedge furrow opener, the upper part of which has a working section with a sharp angle of entry into the soil, lower - and compactor, located in the rear part of the furrow opener, which forms seedbed has a working surface with an obtuse angle of entry into the soil. There were obtained analytical dependences targeted to determine the main structural and technological parameters of the operating elements of a combined coulter furrow opener which is used to seed cultivated crops: the angles of entry into the soil of the upper and lower part of the furrow opener, compactor in the rolling plane and the angle of tip of the furrow opener in the horizontal plane.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76018800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Taxonomic Survey of Phytoplankton in Manasbal Lake of Kashmir Himalaya, India 印度喀什米尔-喜马拉雅地区马纳斯巴尔湖浮游植物分类调查

Alinteri Journal of Agriculture Sciences Pub Date : 2021-07-13 DOI: 10.47059/ALINTERI/V36I2/AJAS21119

Jahangeer Mohd Reshi, J. Sharma, I. A. Najar

引用次数: 1

Eco-friendly Biodegradable Super Absorbent Polymers (SAPs); An Effective Water Retainer and Agrofertilizer 生态友好型生物可降解高吸水性聚合物(sap);一种有效的保水剂和农用肥料

Alinteri Journal of Agriculture Sciences Pub Date : 2021-06-29 DOI: 10.47059/alinteri/v36i1/ajas21105

Dr. K. Sudhakar, L. Amalraj, V. Tejaswini, N. M. Sree, P. Harshitha, M. Julie

引用次数: 1

Improving the Efficiency by Novel Feature Extraction Technique Using Decision Tree Algorithm Comparing with SVM Classifier Algorithm for Predicting Heart Disease 基于决策树算法的特征提取技术与SVM分类器预测心脏病的比较

Alinteri Journal of Agriculture Sciences Pub Date : 2021-06-29 DOI: 10.47059/alinteri/v36i1/ajas21100

Sarah Sameer, P. Sriramya

{"title":"Improving the Efficiency by Novel Feature Extraction Technique Using Decision Tree Algorithm Comparing with SVM Classifier Algorithm for Predicting Heart Disease","authors":"Sarah Sameer, P. Sriramya","doi":"10.47059/alinteri/v36i1/ajas21100","DOIUrl":"https://doi.org/10.47059/alinteri/v36i1/ajas21100","url":null,"abstract":"Aim: The objective of the research work is to use the two machine learning algorithms Decision Tree(DT) and Support vector machine(SVM) for detection of heart disease on earlier stages and give more accurate prediction. Materials and methods: Prediction of heart disease is performed using two machine learning classifier algorithms namely, Decision Tree and Support Vector Machine methods. Decision tree is the predictive modeling approach used in machine learning, it is a type of supervised machine learning. Support-vector machines are directed learning models with related learning calculations that break down information for order and relapse investigation. The significance value for calculating Accuracy was found to be 0.005. Result and discussion: During the process of testing 10 iterations have been taken for each of the classification algorithms respectively. The experimental results shows that the decision tree algorithm with mean accuracy of 80.257% is compared with the SVM classifier algorithm of mean accuracy 75.337% Conclusion: Based on the results achieved the Decision Tree classification algorithm better prediction of heart disease than the SVM classifier algorithm.","PeriodicalId":42396,"journal":{"name":"Alinteri Journal of Agriculture Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79936612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1