Evaluation of microclimate in dairy farms using different model typologies in computational fluid dynamics analyses
Published: 9 July 2024
Abstract Views: 145
PDF: 84
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Similar Articles
- Ana Carolina Donofre, Iran José Oliveira da Silva, Aérica Cirqueira Nazareno, Iuri Emmanuel de Paula Ferreira, Mechanical vibrations in the transport of hatching eggs and the losses caused in the hatch and quality of broiler chicks , Journal of Agricultural Engineering: Vol. 48 No. 1 (2017)
- Fan Cui, Guoqi Dong, Baiping Chen, Penglin Yong, Suping Peng, Application of ground penetrating radar technology in moisture content detection of stored grain , Journal of Agricultural Engineering: Vol. 54 No. 1 (2023)
- Marko Milan Kostić, Nataša Ljubičić, Vladimir Aćin, Milan Mirosavljević, Maša Budjen, Miloš Rajković, Nebojša Dedović, An active-optical reflectance sensor in-field testing for the prediction of winter wheat harvest metrics , Journal of Agricultural Engineering: Vol. 55 No. 1 (2024)
- Lingxin Bu, Qianwen Kou, Adilet Sugirbay, Jun Chen, Yu Chen, An air-assisted mechanical hill-seeding device for foxtail millet (Setaria italica) , Journal of Agricultural Engineering: Vol. 55 No. 2 (2024)
- Xin Yu, Ling Zhao, Zongbin Liu, Yiqing Zhang, Distinguishing tea stalks of Wuyuan green tea using hyperspectral imaging analysis and convolutional neural network , Journal of Agricultural Engineering: Vol. 55 No. 2 (2024)
- Maria Lisa Clodoveo, Tiziana Dipalmo, Cristina Schiano, Domenico La Notte, Sandra Pati, What’s now, what’s new and what’s next in virgin olive oil elaboration systems? A perspective on current knowledge and future trends , Journal of Agricultural Engineering: Vol. 45 No. 2 (2014)
- Giuseppe Modica, Francesco Solano, Angelo Merlino, Salvatore Di Fazio, Francesco Barreca, Luigi Laudari, Carmelo Riccardo Fichera, Using Landsat 8 imagery in detecting cork oak (Quercus suber L.) woodlands: a case study in Calabria (Italy) , Journal of Agricultural Engineering: Vol. 47 No. 4 (2016)
- A. Vinci, L. Vergni, F. Todisco, F. Mannocchi, Analysis of rainfed alfalfa evapotranspiration measured by an eddy covariance system , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
- Wei Deng, Chunjiang Zhao, Liping Chen, Xiu Wang, Constant pressure control for variable-rate spray using closed-loop proportion integration differentiation regulation , Journal of Agricultural Engineering: Vol. 47 No. 3 (2016)
- Andrea Rosario Proto, Alois Skoupy, Giorgio Macri, Giuseppe Zimbalatti, Time consumption and productivity of a medium size mobile tower yarder in downhill and uphill configurations: a case study in Czech Republic , Journal of Agricultural Engineering: Vol. 47 No. 4 (2016)
<< < 15 16 17 18 19 20 21 22 23 24 > >>
You may also start an advanced similarity search for this article.