Results 191 to 200 of about 78,873 (239)

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

Advanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais, S. Peng, J. Chang, F. Li, Q. Zhu, K. Yuan, G. Hugelius, H. Li, Y. Cai, F. Chevallier, K. Tibrewal, E. A. Kort, K. Arndt, J. Watts, B. Buma, N. Besic, P. I. Palmer, H. Cadillo‐Quiroz, E. Euskirchen, M. J. Gondwe, A. Hoyt, R. Jackson, S. Malone, D. Monteverde, S. Natali, M. Ramonet, C. Rey‐Sanchez, L. B. Sagang, E. A. G. Schuur, R. Vargas, R. Varner, Z. Zhang, B. Poulter   +32 more
wiley   +1 more source

Rapid detection of soybean nutrient deficiencies with YOLOv8s for precision agriculture advancement. [PDF]

Sci Rep
Jeong M, Park S, Kwon SM, Lim K, Jung DR, Lee HS, Kim HJ, Shin JH.   +7 more
europepmc   +1 more source

A Sustainable Bio‐Based Epoxy Thermoset as a High‐Performance Alternative to BPA‐Based Resins

Advanced Science, EarlyView.
A rigid–flexible bio‐based epoxy network integrates soybean oil, lignin, and maleic anhydride to overcome the strength–toughness–sustainability trade‐off of conventional BPA epoxy. The thermoset delivers excellent performance as both a structural adhesive and a matrix for glass‐fabric composites, while enabling pH‐responsive degradation, environmental ...
Jiyun Qi, Xinyi Hui, Xipeng Zhang, Jia‐Long Wen, Tong‐Qi Yuan   +4 more
wiley   +1 more source

Correction: Optimizing Mask R-CNN for enhanced quinoa panicle detection and segmentation in precision agriculture. [PDF]

Front Plant Sci
El Akrouchi M, Mhada M, Gracia DR, Hawkesford MJ, Gérard B.   +4 more
europepmc   +1 more source

RFDAF-Net: a novel region-specific feature decoupling and adaptive fusion network for field soybean disease identification in precision agriculture. [PDF]

Front Plant Sci
Pan R, Yang Q, Chen Y, Cao J.
europepmc   +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

Multiple model visual feature embedding and selection method for an efficient pest classification supporting precision agriculture. [PDF]

Sci Rep
Khullar V, Kansal I, Bhattacharjee SB, Tasneem Z, Goyal N, Samreen S, Gupta SK, Mahajan S.   +7 more
europepmc   +1 more source

Enhanced Leaf Disease Segmentation Using U-Net Architecture for Precision Agriculture: A Deep Learning Approach. [PDF]

Food Sci Nutr
Singh G, Al-Huqail AA, Almogren A, Kaur S, Joshi K, Singh A, Bharany S, Hussen S, Rehman AU.   +8 more
europepmc   +1 more source

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Precision Agriculture

International Journal of Computing Algorithm, 2023
The ability to manage fields not as a single unit but by dividing them into separate areas distinguishes precision farming from traditional agriculture. Technologies and techniques used to improve the crop farming is the main domain we are working under precision agriculture.Optical sensors that use the reflectivity of light placed on growing plants to
Aneela Afzal, Mark Bell
  +10 more sources