Optimization of irrigation timing for sprinkler irrigation system using convolutional neural network-based mobile application for sustainable agriculture-Reference-Cited by-同舟云学术

Optimization of irrigation timing for sprinkler irrigation system using convolutional neural network-based mobile application for sustainable agriculture

Published:2023-10 Issue: Volume:5 Page:100305
ISSN:2772-3755
Container-title:Smart Agricultural Technology
language:en
Short-container-title:Smart Agricultural Technology

Author:

Singh Naseeb^ORCID,Ajaykumar Kethavath,Dhruw L.K.,Choudhury B.U.

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Agricultural and Biological Sciences,Computer Science (miscellaneous)

Reference62 articles.

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3. Machine learning and regression-based techniques for predicting sprinkler irrigation's wind drift and evaporation losses;Mattar;Agric. Water Manag.,2022

4. Effects of Sprinkle Irrigation on Water Use of Winter Wheat;Fei,2001

5. Effects of micro-sprinkling with different irrigation amount on grain yield and water use efficiency of winter wheat in the North China Plain;Li;Agric. Water Manag.,2019

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