Pub Date : 2022-01-01DOI: 10.1590/1809-4430-eng.agric.v42nepe20220072/2022
Marcos S. Tavares, F. T. Camara, A. Lopes, A. Pinto
{"title":"OPERATIONAL PERFORMANCE OF AN AGRICULTURAL TRACTOR AS A FUNCTION OF MIXTURE PROPORTIONS AND TYPE OF BIODIESEL","authors":"Marcos S. Tavares, F. T. Camara, A. Lopes, A. Pinto","doi":"10.1590/1809-4430-eng.agric.v42nepe20220072/2022","DOIUrl":"https://doi.org/10.1590/1809-4430-eng.agric.v42nepe20220072/2022","url":null,"abstract":"","PeriodicalId":49078,"journal":{"name":"Engenharia Agricola","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67256578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1590/1809-4430-eng.agric.v42nepe20210097/2022
C. M. A. D. Souza, Marcondes de S. Padilha, S. Arcoverde, L. Z. L. Rafull
Bean is among the most consumed and produced crops in Brazil. Given the high demand for food, the search for technologies and controllers to increase the efficiency of agricultural systems has grown. This study aimed to model artificial neural network (ANN) architectures to predict mechanical efficiencies in the semi-mechanized bean harvest. We used a multilayer perceptron network with three inputs (harvest moisture, threshing rotor rotation, and feed rate), two hidden layers of neurons, and one output (efficiency). We evaluated the efficiency in the header, separation on the threshing rotor, cleaning of sieves, and the total efficiency of the machine. ANN was processed by a scripted algorithm to model the network, alternate the number of neurons in hidden layers, as well as to select, test, and validate ANN with less error. ANN was validated by comparing its results with the experimental data. The architectures selected to predict efficiencies were 3-8-15-1 for the header, 3-9-7-1 for the thresher and separation, 3-5-11-1 for cleaning, and 3-15-10-1 for the total operation. ANN predicted satisfactory results with errors below 1% and a high hit rate, thus being valid to predict the efficiencies in the semi-mechanized bean harvest.
{"title":"ARTIFICIAL NEURAL NETWORKS TO PREDICT EFFICIENCIES IN SEMI-MECHANIZED BEAN (Phaseolus vulgaris L.) HARVEST","authors":"C. M. A. D. Souza, Marcondes de S. Padilha, S. Arcoverde, L. Z. L. Rafull","doi":"10.1590/1809-4430-eng.agric.v42nepe20210097/2022","DOIUrl":"https://doi.org/10.1590/1809-4430-eng.agric.v42nepe20210097/2022","url":null,"abstract":"Bean is among the most consumed and produced crops in Brazil. Given the high demand for food, the search for technologies and controllers to increase the efficiency of agricultural systems has grown. This study aimed to model artificial neural network (ANN) architectures to predict mechanical efficiencies in the semi-mechanized bean harvest. We used a multilayer perceptron network with three inputs (harvest moisture, threshing rotor rotation, and feed rate), two hidden layers of neurons, and one output (efficiency). We evaluated the efficiency in the header, separation on the threshing rotor, cleaning of sieves, and the total efficiency of the machine. ANN was processed by a scripted algorithm to model the network, alternate the number of neurons in hidden layers, as well as to select, test, and validate ANN with less error. ANN was validated by comparing its results with the experimental data. The architectures selected to predict efficiencies were 3-8-15-1 for the header, 3-9-7-1 for the thresher and separation, 3-5-11-1 for cleaning, and 3-15-10-1 for the total operation. ANN predicted satisfactory results with errors below 1% and a high hit rate, thus being valid to predict the efficiencies in the semi-mechanized bean harvest.","PeriodicalId":49078,"journal":{"name":"Engenharia Agricola","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67256608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1590/1809-4430-eng.agric.v42n2e20210043/2022
L. W. Schirmbeck, D. Fontana, J. Schirmbeck, G. A. Dalmago, José Mauro Carneiro Fernandes
{"title":"SURFACE MOISTURE INDEX BY RADIOMETRIC MEASUREMENTS AND ORBITAL DATA","authors":"L. W. Schirmbeck, D. Fontana, J. Schirmbeck, G. A. Dalmago, José Mauro Carneiro Fernandes","doi":"10.1590/1809-4430-eng.agric.v42n2e20210043/2022","DOIUrl":"https://doi.org/10.1590/1809-4430-eng.agric.v42n2e20210043/2022","url":null,"abstract":"","PeriodicalId":49078,"journal":{"name":"Engenharia Agricola","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67255232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1590/1809-4430-eng.agric.v42n4e20210056/2022
J. A. R. D. Silva, R. Manzione, G. G. D. Oliveira Júnior, Adriano B. da Silva, F. Putti
{"title":"SPATIAL VARIABILITY OF NOISE GENERATED BY A SELF-PROPELLED COFFEE HARVESTER IN AN OPEN AREA","authors":"J. A. R. D. Silva, R. Manzione, G. G. D. Oliveira Júnior, Adriano B. da Silva, F. Putti","doi":"10.1590/1809-4430-eng.agric.v42n4e20210056/2022","DOIUrl":"https://doi.org/10.1590/1809-4430-eng.agric.v42n4e20210056/2022","url":null,"abstract":"","PeriodicalId":49078,"journal":{"name":"Engenharia Agricola","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67255901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1590/1809-4430-eng.agric.v42n4e20210208/2022
Zhigui Dong, Qingfeng Song, W. Zhang
{"title":"PARAMETER OPTIMIZATION OF WHOLE-STRAW RETURNING DEVICE BASED ON THE BP NEURAL NETWORK","authors":"Zhigui Dong, Qingfeng Song, W. Zhang","doi":"10.1590/1809-4430-eng.agric.v42n4e20210208/2022","DOIUrl":"https://doi.org/10.1590/1809-4430-eng.agric.v42n4e20210208/2022","url":null,"abstract":"","PeriodicalId":49078,"journal":{"name":"Engenharia Agricola","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67256294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1590/1809-4430-eng.agric.v42n3e20210227/2022
Thiago F. Duarte, Edson Godoy, T. D. Silva, E. M. Bonfim-Silva, Douglas V. R. dos Santos
{"title":"LOW-COST ELECTRO-MECHANICAL PRESS FOR DETERMINING PRE-CONSOLIDATION PRESSURE","authors":"Thiago F. Duarte, Edson Godoy, T. D. Silva, E. M. Bonfim-Silva, Douglas V. R. dos Santos","doi":"10.1590/1809-4430-eng.agric.v42n3e20210227/2022","DOIUrl":"https://doi.org/10.1590/1809-4430-eng.agric.v42n3e20210227/2022","url":null,"abstract":"","PeriodicalId":49078,"journal":{"name":"Engenharia Agricola","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67255547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1590/1809-4430-eng.agric.v42n4e20210003/2022
E. A. Konopatzki, D. Christ, S. Coelho, A. Demito, I. Werncke, R. G. D. M. Camicia
The defects that drying in concrete yards impose on coffee beans and the search for gourmet coffee production have prompted the emergence of new drying technologies. This work verified the technical and economic feasibility of drying coffee with dehumidified air with a refrigerating capacity of 422,908.7 J s -1 , compatible with static capacity dryers equal to 75 m 3 . Considering the sale price of coffee, the cost of electric energy acquisition, the monthly interest rate and maintenance time, expenses that are equivalent to the depreciation of the concrete yard, a central compound rotational design was considered with 28 tests for the feasibility analysis, including the internal rate of return, net present value and the return on investment. The results showed that in the electric drying units, the dried coffee presents fewer broken and defective beans and has higher retention in a N o . 17 sieve. With a higher beverage quality and a price 12.11% higher, drying with dehydrated air showed a PBD of 2.27 years and a return of US$ 2.49 million. The optimisation results were 98.98% desirable. It was concluded that it is economically feasible to dry coffee with dehydrated air and without using a concrete yard.
在混凝土场中干燥对咖啡豆造成的缺陷和对美味咖啡生产的追求促使了新的干燥技术的出现。本工作验证了用除湿空气干燥咖啡的技术经济可行性，其制冷量为422,908.7 J s -1，与75 m3的静态容量干燥机兼容。考虑到咖啡的销售价格、获取电能的成本、每月利率和维修时间，以及相当于混凝土场折旧的费用，考虑了一种中央复合旋转设计，并进行了28项测试，以进行可行性分析，包括内部回报率、净现值和投资回报率。结果表明，在电干燥装置中，干燥后的咖啡出现较少的破碎和缺陷豆，并且在N o中的保留率较高。17筛。在提高饮料质量和提高价格12.11%的情况下，脱水空气干燥的PBD为2.27年，回报为249万美元。优化结果为98.98%。结果表明，在不使用混凝土堆场的情况下，用脱水空气干燥咖啡是经济可行的。
{"title":"COFFEE DRYER WITH DEHYDRATED AIR: A TECHNICAL AND ECONOMIC VIABILITY ANALYSIS","authors":"E. A. Konopatzki, D. Christ, S. Coelho, A. Demito, I. Werncke, R. G. D. M. Camicia","doi":"10.1590/1809-4430-eng.agric.v42n4e20210003/2022","DOIUrl":"https://doi.org/10.1590/1809-4430-eng.agric.v42n4e20210003/2022","url":null,"abstract":"The defects that drying in concrete yards impose on coffee beans and the search for gourmet coffee production have prompted the emergence of new drying technologies. This work verified the technical and economic feasibility of drying coffee with dehumidified air with a refrigerating capacity of 422,908.7 J s -1 , compatible with static capacity dryers equal to 75 m 3 . Considering the sale price of coffee, the cost of electric energy acquisition, the monthly interest rate and maintenance time, expenses that are equivalent to the depreciation of the concrete yard, a central compound rotational design was considered with 28 tests for the feasibility analysis, including the internal rate of return, net present value and the return on investment. The results showed that in the electric drying units, the dried coffee presents fewer broken and defective beans and has higher retention in a N o . 17 sieve. With a higher beverage quality and a price 12.11% higher, drying with dehydrated air showed a PBD of 2.27 years and a return of US$ 2.49 million. The optimisation results were 98.98% desirable. It was concluded that it is economically feasible to dry coffee with dehydrated air and without using a concrete yard.","PeriodicalId":49078,"journal":{"name":"Engenharia Agricola","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67255764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1590/1809-4430-eng.agric.v42n2e20210226/2022
Haiyuan Li, Y. Hu, Lian Qi, Haiming Yu
{"title":"SIMULATION OPTIMIZATION AND EXPERIMENTAL STUDY OF THE AIR DISTRIBUTION CHAMBER STRUCTURE OF STRAW-BASED NUTRIENT SEEDING-GROWING BOWL TRAY MICROWAVE–HOT-AIR COUPLING DRYERS","authors":"Haiyuan Li, Y. Hu, Lian Qi, Haiming Yu","doi":"10.1590/1809-4430-eng.agric.v42n2e20210226/2022","DOIUrl":"https://doi.org/10.1590/1809-4430-eng.agric.v42n2e20210226/2022","url":null,"abstract":"","PeriodicalId":49078,"journal":{"name":"Engenharia Agricola","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67255801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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