Smart Agriculture Information Technology and Agriculture Cross-Discipline Research and Development

The aim of this Special Issue is to explore and support the evolution of emerging digital technology applications in agriculture and biology, including but not limited to agriculture, data collection, data mining, bioinformatics, genomics, and phenomics, as well as applications of machine learning and artificial intelligence. The development of a community to support this goal requires the cross-linking and integration of multiple sources of agricultural research across 3S technologies (remote sensing-RS; geographic information systems-GIS; global positioning systems-GPS).

• | Author: Jian Zhang, Randy G Goebel, Zhihai Wu
• | Publisher: MDPI AG
• | Publication Date: Apr 22, 2024
• | Number of Pages: NA pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 372580818X
• | ISBN-13: 9783725808182