Works matching IS 13852256 AND DT 2021 AND VI 22 AND IP 6

Results: 18

Correction to: Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments.

Published in:

2021

By:

Saleem, Muhammad Hammad;
Potgieter, Johan;
Arif, Khalid Mahmood

Publication type:

Correction Notice

Economics of autonomous equipment for arable farms.

Published in:

Precision Agriculture, 2021, v. 22, n. 6, p. 1992, doi. 10.1007/s11119-021-09822-x

By:

Lowenberg-DeBoer, James;
Franklin, Kit;
Behrendt, Karl;
Godwin, Richard

Publication type:

Article

Flying over the farm: understanding drone adoption by Australian irrigators.

Published in:

Precision Agriculture, 2021, v. 22, n. 6, p. 1973, doi. 10.1007/s11119-021-09821-y

By:

Zuo, Alec;
Wheeler, Sarah Ann;
Sun, Heng

Publication type:

Article

Spatio-temporal analysis of yield and weather data for defining site-specific crop management zones.

Published in:

Precision Agriculture, 2021, v. 22, n. 6, p. 1952, doi. 10.1007/s11119-021-09820-z

By:

Kinoshita, Rintaro;
Rossiter, David;
van Es, Harold

Publication type:

Article

Economic and management value of weed maps at harvest in semi-arid cropping systems of the US Pacific Northwest.

Published in:

Precision Agriculture, 2021, v. 22, n. 6, p. 1936, doi. 10.1007/s11119-021-09819-6

By:

Barroso, Judit;
San Martin, Carolina;
McCallum, John D.;
Long, Dan S.

Publication type:

Article

Optimization of the factors affecting droplet deposition in rice fields by rotary unmanned aerial vehicles (UAVs).

Published in:

Precision Agriculture, 2021, v. 22, n. 6, p. 1918, doi. 10.1007/s11119-021-09818-7

By:

Guo, Shuang;
Li, Jiyu;
Yao, Weixiang;
Hu, Xiaodan;
Wei, Xu;
Long, Bo;
Wu, Han;
Li, Huifen

Publication type:

Article

Multi-sensors data fusion approach for site-specific seeding of consumption and seed potato production.

Published in:

Precision Agriculture, 2021, v. 22, n. 6, p. 1890, doi. 10.1007/s11119-021-09817-8

By:

Munnaf, Muhammad Abdul;
Haesaert, Geert;
Van Meirvenne, Marc;
Mouazen, Abdul Mounem

Publication type:

Article

Evaluating unoccupied aerial systems (UAS) imagery as an alternative tool towards cotton-based management zones.

Published in:

Precision Agriculture, 2021, v. 22, n. 6, p. 1861, doi. 10.1007/s11119-021-09816-9

By:

Rouze, Gregory;
Neely, Haly;
Morgan, Cristine;
Kustas, William;
Wiethorn, Matt

Publication type:

Article

Unmanned aerial vehicle to evaluate frost damage in coffee plants.

Published in:

Precision Agriculture, 2021, v. 22, n. 6, p. 1845, doi. 10.1007/s11119-021-09815-w

By:

Marin, Diego Bedin;
Ferraz, Gabriel Araújo e Silva;
Schwerz, Felipe;
Barata, Rafael Alexandre Pena;
de Oliveira Faria, Rafael;
Dias, Jessica Ellen Lima

Publication type:

Article

Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior.

Published in:

Precision Agriculture, 2021, v. 22, n. 6, p. 1816, doi. 10.1007/s11119-021-09814-x

By:

Mohr, Svenja;
Kühl, Rainer

Publication type:

Article

Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approaches.

Published in:

Precision Agriculture, 2021, v. 22, n. 6, p. 2007, doi. 10.1007/s11119-021-09813-y

By:

Zhang, Chenglong;
Valente, João;
Kooistra, Lammert;
Guo, Leifeng;
Wang, Wensheng

Publication type:

Article

Does drone remote sensing accurately estimate soil pH in a spring wheat field in southwest Montana?

Published in:

Precision Agriculture, 2021, v. 22, n. 6, p. 1803, doi. 10.1007/s11119-021-09812-z

By:

Webb, Hailey;
Barnes, Nathaniel;
Powell, Scott;
Jones, Clain

Publication type:

Article

Optimization of multi-source UAV RS agro-monitoring schemes designed for field-scale crop phenotyping.

Published in:

Precision Agriculture, 2021, v. 22, n. 6, p. 1768, doi. 10.1007/s11119-021-09811-0

By:

Zhu, Wanxue;
Sun, Zhigang;
Huang, Yaohuan;
Yang, Ting;
Li, Jing;
Zhu, Kangying;
Zhang, Junqiang;
Yang, Bin;
Shao, Changxiu;
Peng, Jinbang;
Li, Shiji;
Hu, Hualang;
Liao, Xiaohan

Publication type:

Article

Subfield crop yields and temporal stability in thousands of US Midwest fields.

Published in:

Precision Agriculture, 2021, v. 22, n. 6, p. 1749, doi. 10.1007/s11119-021-09810-1

By:

Maestrini, Bernardo;
Basso, Bruno

Publication type:

Article

The adoption of drones in German agriculture: a structural equation model.

Published in:

Precision Agriculture, 2021, v. 22, n. 6, p. 1728, doi. 10.1007/s11119-021-09809-8

By:

Michels, Marius;
von Hobe, Cord-Friedrich;
Weller von Ahlefeld, Paul Johann;
Musshoff, Oliver

Publication type:

Article

Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer.

Published in:

Precision Agriculture, 2021, v. 22, n. 6, p. 1711, doi. 10.1007/s11119-021-09808-9

By:

Khan, Shahbaz;
Tufail, Muhammad;
Khan, Muhammad Tahir;
Khan, Zubair Ahmad;
Anwar, Shahzad

Publication type:

Article

Understanding the farm data lifecycle: collection, use, and impact of farm data on U.S. commercial corn and soybean farms.

Published in:

Precision Agriculture, 2021, v. 22, n. 6, p. 1685, doi. 10.1007/s11119-021-09807-w

By:

Thompson, Nathanael M.;
DeLay, Nathan D.;
Mintert, James R.

Publication type:

Article

Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments.

Published in:

Precision Agriculture, 2021, v. 22, n. 6, p. 2053, doi. 10.1007/s11119-021-09806-x

By:

Saleem, Muhammad Hammad;
Potgieter, Johan;
Arif, Khalid Mahmood

Publication type:

Article