International Conference on Information and Communication Technologies for Sustainable Agri-production and Environment最新文献_第2页

Semiotic-Sociological Textures of Landscape Values. Assessments in Urban-Coastal Areas 景观价值的符号学社会学纹理。城市-沿海地区的评估

International Conference on Information and Communication Technologies for Sustainable Agri-production and Environment Pub Date : 2017-09-21 DOI: 10.1007/978-3-030-12998-9_3

S. Giuffrida, M. Trovato, A. Giannelli

引用次数: 12

Unmanned Ground Vehicles in Precision Farming Services: An Integrated Emulation Modelling Approach 精准农业服务中的无人地面车辆:综合仿真建模方法

International Conference on Information and Communication Technologies for Sustainable Agri-production and Environment Pub Date : 2017-09-21 DOI: 10.1007/978-3-030-12998-9_13

Dimitrios Bechtsis, Vasileios Moisiadis, N. Tsolakis, D. Vlachos, D. Bochtis

引用次数: 7

ICT Innovations and Smart Farming 信息通信技术创新和智慧农业

International Conference on Information and Communication Technologies for Sustainable Agri-production and Environment Pub Date : 2017-09-21 DOI: 10.1007/978-3-030-12998-9_1

C. Sørensen, D. Kateris, D. Bochtis

引用次数: 11

Supplier Selection and Evaluation Using Multicriteria Decision Analysis 基于多准则决策分析的供应商选择与评价

International Conference on Information and Communication Technologies for Sustainable Agri-production and Environment Pub Date : 2017-09-21 DOI: 10.1007/978-3-030-02312-6_11

Efstratios Kartsonakis, E. Grigoroudis, Michalis Neofytou

引用次数: 0

SheepIT, an IoT-Based Weed Control System 基于物联网的杂草控制系统SheepIT

International Conference on Information and Communication Technologies for Sustainable Agri-production and Environment Pub Date : 2017-09-21 DOI: 10.1007/978-3-030-12998-9_10

Luís Nóbrega, P. Pedreiras, Pedro Gonçalves

引用次数: 7

Using Social Media for Continuous Monitoring and Mining of Consumer Behaviour 利用社交媒体持续监测和挖掘消费者行为

International Conference on Information and Communication Technologies for Sustainable Agri-production and Environment Pub Date : 1900-01-01 DOI: 10.1504/IJEB.2014.057905

M. Salampasis, G. Paltoglou, Anastasia Giahanou

引用次数: 19

Comparison of Models for Describing the Lactation Curves of Chios Sheep Using Daily Records Obtained from an Automatic Milking System 用自动挤奶系统日记录描述希俄斯羊泌乳曲线的模型比较

International Conference on Information and Communication Technologies for Sustainable Agri-production and Environment Pub Date : 1900-01-01 DOI: 10.13140/2.1.2703.4885

Maria Karangeli, Z. Abas, T. Koutroumanidis, Chrisovaladis Malesios, C. Giannakopoulos

{"title":"Comparison of Models for Describing the Lactation Curves of Chios Sheep Using Daily Records Obtained from an Automatic Milking System","authors":"Maria Karangeli, Z. Abas, T. Koutroumanidis, Chrisovaladis Malesios, C. Giannakopoulos","doi":"10.13140/2.1.2703.4885","DOIUrl":"https://doi.org/10.13140/2.1.2703.4885","url":null,"abstract":"The objectives of this study were: (i) to compare five models (Wood, Cobby & Le Du, Wilmink, Cappio Borlino, Djikstra) for describing the lactation curve of Chios sheep, (ii) to identify variation in lactation parameters related to environmental factors (season) and animal factors (parity). A data base on 61,705 recordings of daily milk production obtained from an automatic milking system was used. The lactation models were individually adjusted for each lactation. Analysis of variance was performed for the comparison of the parameter estimates. The goodness of fit measures used for comparisons of the models was the coefficient of determination (R), mean of mean square error (MMSE), Akaike information criterion (AIC), corrected Akaike information criterion (AICc) and Bayesian information criterion (BIC). Wood model had the lowest values for information criteria (MMSE = 347.4681, AIC = 1,056.436, AICc = 1,056.733, BIC = 1,063.856) and the highest value for the coefficient of determination (R=0.79). The highest values for information criteria were found for Djikstra’s model (MMSE = 636.6438, AIC = 1,076.621, AICc = 1,077.117, BIC = 1,086.582) having the same time the lowest value for the coefficient of determination (R=0.59). Overall, Wood (1967) model showed the best adjustment. Despite of being more recent, the model by Djikstra (1997) mechanist based and with a higher number of parameters showed a low convergence for the data used. Wood model (1967) has a greater advantage of producing a good fit measurement with only three parameters.","PeriodicalId":155398,"journal":{"name":"International Conference on Information and Communication Technologies for Sustainable Agri-production and Environment","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116597381","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: 8

Evaluation of a Satellite Drought Indicator Approach and its Potential for Agricultural Drought Prediction and Crop Loss Assessment. The Case of BEACON Project 卫星干旱指标方法评价及其在农业干旱预测和作物损失评估中的潜力BEACON项目案例

International Conference on Information and Communication Technologies for Sustainable Agri-production and Environment Pub Date : 1900-01-01 DOI: 10.1504/ijsami.2021.10042416

E. Lekakis, S. Kotsopoulos, G. Mygdakos, Agathoklis Dimitrakos, Ifigeneia-Maria Tsioutsia, Polimachi Simeonidou

{"title":"Evaluation of a Satellite Drought Indicator Approach and its Potential for Agricultural Drought Prediction and Crop Loss Assessment. The Case of BEACON Project","authors":"E. Lekakis, S. Kotsopoulos, G. Mygdakos, Agathoklis Dimitrakos, Ifigeneia-Maria Tsioutsia, Polimachi Simeonidou","doi":"10.1504/ijsami.2021.10042416","DOIUrl":"https://doi.org/10.1504/ijsami.2021.10042416","url":null,"abstract":"BEACON is a market-led project that couples Earth Observation (EO) with weather intelligence and blockchain to deliver a toolbox for timely, costefficient and actionable insights for the Agricultural Insurance (AgI) sector. BEACON enables insurance companies to exploit the untapped market potential of AgI, while contributing to the redefinition of existing products and services. The Damage Assessment Calculator of BEACON employs remote sensing in order to improve the quality and cost-effectiveness of agri-insurance by: i) increasing the objectivity of the experts’ field inspections; ii) reducing the cost of field visits and iii) increasing farmers’ confidence in the estimation results. This paper provides an approach that employs a satellite derived agricultural drought indicator, implemented in the operational workflow of BEACON that can be used by AgI companies to improve the prediction and crop loss assessment due to drought.","PeriodicalId":155398,"journal":{"name":"International Conference on Information and Communication Technologies for Sustainable Agri-production and Environment","volume":"116 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116106323","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