Modern techniques for agricultural disease management and crop yield prediction
"This book explores the current practices and widespread open challenges in the field of applications of computational techniques in smart agriculture. It also examines computational methods that will aid in agriculture disease management, weed detection, and crop yield prediction"--Provid...
| Другие авторы: | , , , , |
|---|---|
| Формат: | Электронная книга |
| Язык: | English |
| Публикация: |
Hershey, PA, USA
IGI Global,
2020.
|
| Серии: | Advances in environmental engineering and green technologies (AEEGT) book series.
|
| Предметы: | |
| Online-ссылка: | https://www.lib.tsu.ru/mminfo/2023/EBSCO/2216958.pdf |
| Итог: | "This book explores the current practices and widespread open challenges in the field of applications of computational techniques in smart agriculture. It also examines computational methods that will aid in agriculture disease management, weed detection, and crop yield prediction"--Provided by publisher. |
|---|---|
| Примечание: | "eISSN: 2326-9170." |
| Объем: | 1 online resource (xix, 291 pages) illustrations (chiefly color) |
| Библиография: | Includes compilation of bibliographical references (pages 259-284) and index. |
| ISBN: | 9781522596349 1522596348 |
| ISSN: | 2326-9162 |