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Agriculture is a peer-reviewed journal published by MDPI, covering Smart Agriculture and AI, Soil Carbon and Nitrogen Dynamics, Soil Mechanics and Vehicle Dynamics. Over its lifetime it has published 13,738 papers, which have received 182,674 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Agriculture 2023, 12, 45–58.
Formats any DOI in Agriculture style. No sign-up. |
| Publishes research in | Smart Agriculture and AI Soil Carbon and Nitrogen Dynamics Soil Mechanics and Vehicle Dynamics Remote Sensing in Agriculture Agricultural Engineering and Mechanization |
| ISSN | 2077-0472 |
| Citation impact (2-yr) | 4.41 |
| h-index | 126 |
| i10-index | 5,137 |
| Article processing charge | $1,949 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Ministry of Agriculture and Rural Affairs |
| Journal website | www.mdpi.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Occasionally, the classic understanding of the effect of pH on P uptake from soils is questioned through the claim that maximum P uptake occurs at a pH much lower than 6.5–7. The purpose of this paper was to thoroughly examine that claim and provide a critical review on soil processes that control how soil pH…
Since humans worldwide obtain more than 99.7% of their food (calories) from the land and less than 0.3% from the oceans and aquatic ecosystems, preserving cropland and maintaining soil fertility should be of the highest importance to human welfare. Soil erosion is one of the most serious threats facing world food production. Each year about…
Precision agriculture employs cutting-edge technologies to increase agricultural productivity while reducing adverse impacts on the environment. Precision agriculture is a farming approach that uses advanced technology and data analysis to maximize crop yields, cut waste, and increase productivity. It is a potential strategy for tackling some of the major issues confronting contemporary agriculture, such as…
Smart farming is a development that has emphasized information and communication technology used in machinery, equipment, and sensors in network-based hi-tech farm supervision cycles. Innovative technologies, the Internet of Things (IoT), and cloud computing are anticipated to inspire growth and initiate the use of robots and artificial intelligence in farming. Such ground-breaking deviations are unsettling…
Crop production can be greatly reduced due to various diseases, which seriously endangers food security. Thus, detecting plant diseases accurately is necessary and urgent. Traditional classification methods, such as naked-eye observation and laboratory tests, have many limitations, such as being time consuming and subjective. Currently, deep learning (DL) methods, especially those based on convolutional neural…
