2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)最新文献_第3页

Internet of Things enabled crop physiology sensing system for abiotic crop stress management in apple and sweet cherry 物联网作物生理传感系统用于苹果和甜樱桃的非生物作物胁迫管理

2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) Pub Date : 2020-11-04 DOI: 10.1109/MetroAgriFor50201.2020.9277581

R. Ranjan, R. Sinha, L. Khot, R. Troy Peters, Melba R. Salazar-Gutierrez

{"title":"Internet of Things enabled crop physiology sensing system for abiotic crop stress management in apple and sweet cherry","authors":"R. Ranjan, R. Sinha, L. Khot, R. Troy Peters, Melba R. Salazar-Gutierrez","doi":"10.1109/MetroAgriFor50201.2020.9277581","DOIUrl":"https://doi.org/10.1109/MetroAgriFor50201.2020.9277581","url":null,"abstract":"This study discusses development and field validation of an abiotic stress-monitoring system, i.e. crop physiological sensing system (CPSS) for perennial speciality crops. In current form, CPSS acquires and processes the thermal-RGB imagery as well as site-specific weather data through field sensing nodes and predicts apple and cherry crop specific abiotic stress indicators. The system processes the data on a single board computer to perform real-time prediction of the fruit surface temperature (FST, ºC), a prominent indicator for sunburn susceptibility in apple and the fruit wetness (%) that is related to cracking susceptibility in sweet cherry. The developed system was validated in the field condition and results indicate that imagery derived apple FST (Ti) had strong correlation (R2 = 0.64) with ground truth measured FST (Tg) with no significant difference. Cherry FST data as a predictor variable also had a strong correlation between actual and predicted wetness (R2 = 0.80). Overall, developed CPSS could be reliably utilized for sunburn and wetness prediction in respective apple and sweet cherry.","PeriodicalId":124961,"journal":{"name":"2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132856862","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

Smart Water Management in Agriculture: a Proposal for an Optimal Scheduling Formulation of a Gravity Water Distribution System 农业智能水管理:重力配水系统最优调度方案的建议

2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) Pub Date : 2020-11-04 DOI: 10.1109/MetroAgriFor50201.2020.9277589

V. Latorre, L. Zingali, C. Bragalli, A. Domeneghetti, A. Brath

{"title":"Smart Water Management in Agriculture: a Proposal for an Optimal Scheduling Formulation of a Gravity Water Distribution System","authors":"V. Latorre, L. Zingali, C. Bragalli, A. Domeneghetti, A. Brath","doi":"10.1109/MetroAgriFor50201.2020.9277589","DOIUrl":"https://doi.org/10.1109/MetroAgriFor50201.2020.9277589","url":null,"abstract":"Agriculture represents one of the most water demanding sectors and its role is central on defining water saving policies. In this work, we propose an improved approach to the irrigation scheduling problem, reducing water wastage while satisfying farmers’ demands and crops’ water needs.For water distribution system managed with on-demand distribution approach, the efficiency of irrigation relies on the ability of the network manager (i.e., gatekeeper) to guarantee a proper service, consisting in: the irrigation scheduling, the definition of the volume of water passing through the channels at a given time, and the operations on gates and sluices to make the water reach the farms. Consequently, the irrigation scheduling inefficiencies might be limited by: i) reducing the water wastage, ii) minimizing the gatekeeper work and iii) maximizing the satisfaction of the farmers’ requirements.We propose an improved mixed-integer linear optimization formulation that adds the possibility to store water in the channels and takes seepage into account. This new formulation is able to better represent the physical behavior of the water flow in the channels network, also avoiding the presence of flooding. The proposed optimization solution is embedded within a wider monitoring framework with the intent to fully exploit the availability of a complex network of models, repositories and sensors installed in the field.The resulting problem is solved by one of the most used optimization solvers (IBM ILOG Cplex) and tested on a synthetic benchmark. Furthermore, we validate the results on a digital copy of the network that performs a hydraulic simulation of the irrigation system. The scheduling is accepted if the water introduced in the system can satisfy farmers’ requests with the considered timing and does not produce flooding.","PeriodicalId":124961,"journal":{"name":"2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)","volume":"686 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132184411","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

IoT-based Measurement for Smart Agriculture 基于物联网的智能农业测量

2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) Pub Date : 2020-11-04 DOI: 10.1109/MetroAgriFor50201.2020.9277546

Alexandre Heideker, Dener Ottolini, Ivan D. Zyrianoff, A. T. Neto, Tullio Salmon Cinotti, C. Kamienski

引用次数: 10

Spatiotemporal water use mapping of a commercial apple orchard using UAS based spectral imagery 利用基于UAS的光谱图像绘制商业苹果园的时空水资源利用图

2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) Pub Date : 2020-11-04 DOI: 10.1109/MetroAgriFor50201.2020.9277550

A. Chandel, L. Khot, C. Stöckle, R. Peters, Steve Mantle

{"title":"Spatiotemporal water use mapping of a commercial apple orchard using UAS based spectral imagery","authors":"A. Chandel, L. Khot, C. Stöckle, R. Peters, Steve Mantle","doi":"10.1109/MetroAgriFor50201.2020.9277550","DOIUrl":"https://doi.org/10.1109/MetroAgriFor50201.2020.9277550","url":null,"abstract":"Crop water use estimation at high geospatial resolution is critical for site-specific irrigation management of perennial specialty crops. This study aims to map actual evapotranspiration (ETa) of a commercial apple orchard using unmanned aerial system (UAS) based thermal and multispectral imagery and a widely adopted METRIC (Mapping Evapotranspiration at High Resolution with Internalized calibration) energy balance model (UASM). Four imaging campaigns were conducted during the 2020 growth season and weather data for pertinent days was downloaded from the nearest WSU-AgWeatherNet network station. 24-h ETa was also calculated from the soil water balance (SWB) approach that used soil moisture data from sensors installed at three locations and down to depth of 111 cm. A high linear correlation (r) of 0.84 and non-significant difference (p = 0.5) was observed between UASM derived ETa (5.05 ± 0.8 [Mean ± Std. Dev.] mm day-1) and SWB calculated ETa (5.44 ± 1.81 mm day-1). Notable differences in spatiotemporal water use and crop-coefficients were observed within the orchard. A moderately strong correlation was also observed between the UASM derived crop-coefficients and multispectral imagery derived Normalized Difference Vegetation Index (r = 0.69) that may also be used for estimating actual crop water use. Overall, approach presented in this study may help identify under or over-irrigated areas within the orchard. It may also assist in developing site-specific irrigation prescription maps and schedules.","PeriodicalId":124961,"journal":{"name":"2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127982783","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

Non-contact feed weight estimation by RFID technology in cow-feed alley 基于RFID技术的奶牛饲料场非接触式饲料重量估计

2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) Pub Date : 2020-11-04 DOI: 10.1109/MetroAgriFor50201.2020.9277653

A. Pezzuolo, Hao Guo, S. Guercini, F. Marinello

{"title":"Non-contact feed weight estimation by RFID technology in cow-feed alley","authors":"A. Pezzuolo, Hao Guo, S. Guercini, F. Marinello","doi":"10.1109/MetroAgriFor50201.2020.9277653","DOIUrl":"https://doi.org/10.1109/MetroAgriFor50201.2020.9277653","url":null,"abstract":"The cow’s individual feed intake and, consequently, feed efficiency are traits with a high economic value for the livestock farmer. Feeding behavior and feed intake have traditionally been determined by labour-intensive procedures such as human visual inspection and determination of feed refusals. However, the difficulty in manually collecting data at the time of feeding limits the extent of this type of monitoring. In order to overcome such limitations, optical techniques have been proposed in the last years as a fast-non-contact approach for feed weight/volume estimation. The present paper discusses the potential application of RFID (Radio-Frequency IDentification) technology for indirect estimation of the quantity of feed-ration present in the cow-feed alley. Experimental tests were carried out taking advantage of different amounts of feed ration for lactating cows (51.8% DM) composed by corn silage, alfalfa silage, hay, molasses, and concentrate. Preliminary results highlighted an interesting correlation (R2=0.90) between the minimum power demand for reading the RFID tags positioned on the feed-alley and the quantity of feed-ration to analyze. As the quantities of feed-ration increased, the power demand increased, providing an indirect indication of the variation in quantity. Moreover, the evaluation of the height of the distributed feed-ration showed a high positive correlation (R2 = 0.96) with the minimum power requirement for reading the RFID tags positioned on the feed-alley. The use of RFIDs on the feed-alley represents an interesting solution to define both the quantity of ration to distribute and the evaluation of the residual feed-ration in the feed-alley.","PeriodicalId":124961,"journal":{"name":"2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114245267","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

Mapping near-surface soil moisture in a Mediterranean agroforestry ecosystem using Cosmic-Ray Neutron Probe and Sentinel-1 Data 利用宇宙射线中子探测器和Sentinel-1数据绘制地中海农林生态系统近地表土壤湿度

2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) Pub Date : 2020-11-04 DOI: 10.1109/MetroAgriFor50201.2020.9277557

Aida Taghavi Bayat, S. Schönbrodt-Stitt, P. Nasta, Nima Ahmadian, C. Conrad, H. Bogena, H. Vereecken, J. Jakobi, R. Baatz, N. Romano

{"title":"Mapping near-surface soil moisture in a Mediterranean agroforestry ecosystem using Cosmic-Ray Neutron Probe and Sentinel-1 Data","authors":"Aida Taghavi Bayat, S. Schönbrodt-Stitt, P. Nasta, Nima Ahmadian, C. Conrad, H. Bogena, H. Vereecken, J. Jakobi, R. Baatz, N. Romano","doi":"10.1109/MetroAgriFor50201.2020.9277557","DOIUrl":"https://doi.org/10.1109/MetroAgriFor50201.2020.9277557","url":null,"abstract":"Accurate near-surface soil moisture (θ; ~ 5 cm) estimation is one of the most crucial challenges in agricultural management and hydrological studies. This study aims to map θ at high spatiotemporal resolution (17 m grid size, satellite overpass of 6 days) in a small-scale agroforestry experimental site (~ 30 ha) in southern Italy. The observation period is from November 2018 until March 2019. We employed an ensemble machine-learning method based on Random Forest (RF) to map θ. This RF method is based on three input data types: i) Sentinel-1 (S1) Synthetic Aperture Radar (SAR) measurements, ii) terrain features, and iii) supporting values of sparse point-scale θ simulated in HYDRUS-1D. We propose two different approaches to obtain supporting θ simulations via inverse modeling in HYDRUS-1D. The first approach is based on θ simulated in HYDRUS-1D, which was calibrated on soil moisture data monitored at two soil depths of 15 cm and 30 cm over 20 positions belonging to the SoilNet wireless sensor network installed in the experimental site. The second approach is based on the downscaling of field-scale θ simulated in HYDRUS-1D which was calibrated on Cosmic-Ray Neutron Probe (CRNP) data. The field-scale θ was downscaled in order to obtain sparse point-scale supporting θ over the same 20 positions by using the physical-empirical Equilibrium Moisture from Topography (EMT) model. The CRNP-based approach performed similarly to the one based on SoilNet data. Therefore, this study highlights the enormous potential for modeling reliable θ maps by integrating soft data such as S1 SAR-based measurements, topographic information, and CRNP data, having the advantage of being non-invasive and easy to maintain.","PeriodicalId":124961,"journal":{"name":"2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114425771","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

Relationships among behavior, climate and milk production in a dairy cattle farm in Northern Italy 意大利北部一个奶牛农场的行为、气候和牛奶产量之间的关系

2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) Pub Date : 2020-11-04 DOI: 10.1109/MetroAgriFor50201.2020.9277654

D. Lovarelli, A. Tamburini, Gabriele Mattachini, M. Zucali, E. Riva, G. Provolo, M. Guarino

引用次数: 1

Mapping the fruit bearing capacity in a commercial apple (Malus x domestica BORKH.) orchard 商业苹果(Malus x domestica BORKH.)果园果实承载能力的测绘

2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) Pub Date : 2020-11-04 DOI: 10.1109/MetroAgriFor50201.2020.9277563

M. Penzel, Nikos Tsoulias, W. Herppich, Cornelia Weltzien, M. Zude-Sasse

引用次数: 0

Implementing the Sustainable Development Goals with a digital platform: experiences from the vitivinicultural sector 利用数字平台实施可持续发展目标:来自葡萄栽培部门的经验

2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) Pub Date : 2020-11-04 DOI: 10.1109/MetroAgriFor50201.2020.9277597

G. Bucci, D. Bentivoglio, M. Belletti, A. Finco, Emiliano Anceschi

{"title":"Implementing the Sustainable Development Goals with a digital platform: experiences from the vitivinicultural sector","authors":"G. Bucci, D. Bentivoglio, M. Belletti, A. Finco, Emiliano Anceschi","doi":"10.1109/MetroAgriFor50201.2020.9277597","DOIUrl":"https://doi.org/10.1109/MetroAgriFor50201.2020.9277597","url":null,"abstract":"Emerging technologies, such as Digital Platforms, Internet of Things, remote sensing and Big Data, are going to significantly influence the achievement of the 17 Sustainable Development Goals (SDGs) targets, pursued by all United Nations Member States starting from 2015. As the whole agricultural sector is transforming in a more knowledge-intensive system, precision agriculture could play a significant role to achieve the SDGs, by reducing environmental impacts of agriculture and farming practices, increasing the profitability of the farm and thus improving the quality of life for farmers Based on these premises, the aim of this article is to present VITIS, a digital platform, for the management of vineyard water and nitrogen stress, developed by the Operational Group SMART VITIS and tested in 4 pilots located in Marche Region. All the functions and modules of the platform were built by following a Design Thinking approach. This approach started from the analysis of the needs of the winegrowers, the end-user of the solution. While a focus group, made of agri-experts was conducted to receive feedback from the test phase of the platform. This study illustrates how this approach can be a useful tool to develop targeted digital solutions for farmers with low digital skills.","PeriodicalId":124961,"journal":{"name":"2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130835407","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

Vis/NIR hyperspectral imaging technology in predicting the quality properties of three fruit cultivars during production and storage 可见光/近红外高光谱成像技术在三种水果生产和贮藏过程中品质特性预测中的应用

2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) Pub Date : 2020-11-04 DOI: 10.1109/MetroAgriFor50201.2020.9277668

A. Benelli, A. Fabbri

引用次数: 0