Results 261 to 270 of about 86,386 (310)

Arkansas Turfgrass Report 2009 [PDF]

, 2008
Karcher, Douglas, Patton, Aaron, Richardson, Michael   +2 more
core   +5 more sources

A Farm‐To‐Fork Framework to Assess the Scope and Limitations of Agricultural Data Structures

Modern Agriculture, Volume 3, Issue 2, December 2025.
The diagram illustrates the agricultural data structures evaluation process using AgrIMAF. The data structures were gathered from the literature and ranged from data models and conceptual frameworks to file‐based systems and databases. They are then systematically analysed through the AgrIMAF structure, which consists of three layers, that is, the ...
Cheikh M. M. Thiaw, Louis R. E. Asie, Herlest B. Lovince, Alain N. Rousseau, Paul Celicourt   +4 more
wiley   +1 more source

Smart agriculture in Asia. [PDF]

Plant Commun
Yuan F, Ospina R, Perumal AB, Noguchi N, He Y, Liu Y.   +5 more
europepmc   +1 more source

Hydrogen in Agriculture: A Technological Revolution From Soil to Table

Modern Agriculture, Volume 3, Issue 2, December 2025.
Hydrogen (H2) revolutionises agriculture by boosting crop yield and nutrient enrichment while enhancing functional soil microbes. It activates antioxidant pathways, delays fruit ageing, and recruits beneficial microbes via root exudates. Hydrogen's multi‐target action bridges soil health to food security across agricultural systems, enabling ...
Yu Dai
wiley   +1 more source

IoT Sensing for Advanced Irrigation Management: A Systematic Review of Trends, Challenges, and Future Prospects. [PDF]

Sensors (Basel)
Abdelmoneim AA, Kimaita HN, Al Kalaany CM, Derardja B, Dragonetti G, Khadra R.   +5 more
europepmc   +1 more source

AI Applications in the Environmental Control of Controlled Environment Agriculture in the Digital Age

Modern Agriculture, Volume 3, Issue 2, December 2025.
Artificial intelligence (AI) is reshaping controlled environment agriculture (CEA) by powering climate prediction, yield forecasting, pest and disease detection, and intelligent control systems. These innovations enhance efficiency, resilience, and sustainability while enabling multiscale integration with renewable energy and existing infrastructures ...
Wei‐Han Chen, Benjamin Decardi‐Nelson, Chieri Kubota, Fengqi You   +3 more
wiley   +1 more source

Intelligent and automatic irrigation system based on internet of things using fuzzy control technology. [PDF]

Sci Rep
Liu X, Zhao Z, Rezaeipanah A.
europepmc   +1 more source

Beyond Crop Hotspots: Why Overlooked Marginal Agricultural Lands Deserve Urgent Attention

Modern Agriculture, Volume 3, Issue 2, December 2025.
This graphical abstract outlines a dynamic innovation pipeline designed for marginal environments. It categorizes the core problems hindering productivity (red) and channels them into a structured response of strategic solutions (orange). This response leverages a triad of modern tools: precision agriculture (e.g., drones, sensors), genetic advancement
Tong Wei, Sunil Kumar Sahu, Hifzur Rahman, Srinivasan Samineni, Rakesh Kumar Singh, Augusto Becerra Lopez‐Lavalle   +5 more
wiley   +1 more source

Integration of smart sensors and IOT in precision agriculture: trends, challenges and future prospectives. [PDF]

Front Plant Sci
Mansoor S, Iqbal S, Popescu SM, Kim SL, Chung YS, Baek JH.   +5 more
europepmc   +1 more source

Toward enhanced nutrient circularity: Lessons from a multidisciplinary conference

Natural Sciences Education, Volume 54, Issue 2, December 2025.
Abstract The global agricultural sector faces the challenge of ensuring food security while minimizing the environmental impact of conventional practices. Waste‐derived fertilizers have gained attention for their potential to enhance nutrient circularity, yet regulatory, environmental, and agronomic barriers hinder widespread adoption. To address these
Júlia Farias, Jonas Baltrusaitis, Treavor Boyer, Rebecca L. Muenich, Lisa Durso, Vita Tilvikiene, Andy Sheppard, Waleed Asghar, Chittaranjan Ray, Kerry A. Hamilton, Clinton Williams   +10 more
wiley   +1 more source