Agronomy MDPI

🚩Editor's Choice
Sown Diversity Effects on the C and N Cycle and Interactions with Fertilization
🔸Link:
https://brnw.ch/21x3edi
📖Learn more: https://brnw.ch/21x3edh

Sown Diversity Effects on the C and N Cycle and Interactions with Fertilization A better understanding of the role of plant composition and N cycle on agroecosystems is necessary, as these will be affected by future developments in agriculture intensification. To explore the effect of plant diversity on yield and carbon (C) and nitrogen (N) balances in forage mixtures, identify...

📣 Announcement: ICAS 2026 Event Committee Member!

We’re pleased to announce that Assoc. Prof. Kaiguang Zhao, from School of Environment and Natural Resources, The Ohio State University, USA,will be joining the Event Committee for the 2026 International Conference on Agriculture Sciences!

Hear from Our Leading Expert’s Research:
Assoc. Prof. Kaiguang Zhao is a researcher at The Ohio State University specializing in precision agriculture, remote sensing, and geospatial data analysis. His research focuses on the application of advanced sensing technologies, geographic information systems (GIS), and spatial modeling to improve agricultural productivity and environmental sustainability. He works on developing data-driven approaches for crop monitoring, natural resource management, and landscape analysis, helping to support more efficient and resilient agricultural systems. His interdisciplinary research bridges agriculture, environmental science, and emerging technologies to address challenges in sustainable land and resource management.

Connect and Be Inspired!

The ICAS 2026 is a great international platform for you to engage and connect with our trail-blazing experts across cutting-edge agricultural and agroecology topics.

🗓️ Important Dates
Conference dates: 21–23 October 2026

📣Submit your abstracts by 22 June 2026 using this link:
https://sciforum.net/user/submission/create/1618

For more information on abstract submission instructions: https://sciforum.net/event/ICAS2026?section=

Don’t miss this opportunity to present your research and connect with a global community of experts!

🚩 Review Article Recommendation
Advancements in Leaf Area Index Estimation for Maize Using Modeling and Remote Sensing Techniques: A Review
🔸Link:
https://brnw.ch/21x3aMo
📖Learn more: https://brnw.ch/21x3aMp

Advancements in Leaf Area Index Estimation for Maize Using Modeling and Remote Sensing Techniques: A Review Maize is an important crop used as food, feed, and industrial raw material. Therefore, it is critical to maximize maize yield on available land by using optimal inputs and adapting to challenges posed by climate change. The Leaf Area Index (LAI) is a key parameter that provides significant assistanc...