1.

Record Nr.

UNINA9910710531003321

Autore

McDonough Walter G

Titolo

Critical issues in the characterization of polymers for medical applications / / Walter G. McDonough; Eric J. Amis; Joachim Kohn

Pubbl/distr/stampa

Gaithersburg, MD : , : U.S. Dept. of Commerce, National Institute of Standards and Technology, , 2000

Descrizione fisica

1 online resource

Collana

NISTIR ; ; 6535

Altri autori (Persone)

AmisEric J

KohnJoachim

McDonoughWalter G

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

2000.

Contributed record: Metadata reviewed, not verified. Some fields updated by batch processes.

Title from PDF title page.

Nota di bibliografia

Includes bibliographical references.



2.

Record Nr.

UNINA9910886996103321

Autore

Iqbal Muhammad Azhar <1978->

Titolo

Digital Agriculture : An Introduction / / by Muhammad Azhar Iqbal

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024

ISBN

3-031-67679-3

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (159 pages)

Collana

SpringerBriefs in Agriculture, , 2211-8098

Disciplina

338.10285

Soggetti

Agriculture

Artificial intelligence - Data processing

Machine learning

Biology

Agronomy

Agriculture - Economic aspects

Data Science

Machine Learning

Biological Sciences

Agricultural Economics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Chapter – 1 Fundamentals of Digital Agriculture -- Chapter – 2 Digital Agriculture Ecosystem -- Chapter – 3 Data Acquisition in Digital Agriculture -- Chapter – 4 Data Communication in Digital Agriculture -- Chapter – 5 Data Storage in Digital Agriculture -- Chapter – 6 Data Analytics in Digital Agriculture -- Chapter – 7 Impacts and Future Directions of Digital Agriculture.

Sommario/riassunto

The success of modern-day agriculture lies in the digitalization of agricultural systems. The primary aim of this book is to provide a starting point to understand the fundamentals and design of digital agriculture systems with reference to the enabling technologies that deal with the production, improvement, and protection of crops/plants and livestock. The other associated objectives of this book include the explanation of the design and deployment of IoT-based digital agriculture systems in such a simple way that agriculture students



understand straightforwardly. Therefore, this book is an effort to partially fill the gap associated with the understanding of the development and deployment of digital agriculture systems (including both precision and smart farming). We believe that with the provided details of enabling technologies and their usage in digital agriculture systems, agriculture students will find it easier to comprehend the designing of small-/large-scale IoT-based digital agriculture systems. This book provides insight into different technologies, architectures, and case studies that will ultimately help students to understand the concept of Digital Agriculture and its related applications. It enables students to realize the importance of open issues and future challenges of digital agriculture systems.