Results 91 to 100 of about 79,354 (341)

Successful Implementation of Environmental Policy and Governance: Understanding and Modeling Micro Governance

Environmental Policy and Governance, EarlyView.
ABSTRACT Successful implementation of environmental policy and governance highly depends on the capacity to know about, build new and utilize existing governance structures. However, the theoretical tools and available methods to assess the complexity of emerging or existing structures are rather limited.
Diana Giebels, Arend Ligtenberg, Martha Bakker   +2 more
wiley   +1 more source

Field-based multispecies weed and crop detection using ground robots and advanced YOLO models: A data and model-centric approach

Smart Agricultural Technology
The implementation of a machine-vision system for real-time precision weed management is a crucial step towards the development of smart spraying robotic vehicles.
Sunil G C, Arjun Upadhyay, Yu Zhang, Kirk Howatt, Thomas Peters, Michael Ostlie, William Aderholdt, Xin Sun   +7 more
doaj   +1 more source

Development of a Highly Sensitive Time‐Resolved Fluorescence Immunochromatographic Assay for Rapid Onsite Determination of Prometryn Residues in Food Samples

Food Safety and Health, EarlyView.
The recombinant full‐length antibody against prometryn (PRO‐rAb) was prepared by HEK293 (F) cell expression system and utilized as the foundation for time‐resolved fluorescence immunochromatographic assay (TRFICA). The established method showed good performance for the detection of prometryn residues in five food samples. ABSTRACT Prometryn, a triazine
Jing Zhao, Song Gao, Peipei Li, A. M. Abd El‐Aty, Lingyuan Xu, Fen Jin, Jing Wang, Jia Li, Weiping Lin, Lufei Zheng, Bining Jiao   +10 more
wiley   +1 more source

Crop-Weed Segmentation and Classification Using YOLOv8 Approach for Smart Farming

Journal of Studies in Science and Engineering
Accurately segmenting crop and weed images in agricultural fields is crucial for precision farming and effective weed management. This study introduces a new method that leverages the YOLOv8 object detection model for precise crop and weed segmentation ...
Sandip Sonawane, Nitin N. Patil
doaj   +1 more source

Weed Detection in Wheat Crops Using Image Analysis and Artificial Intelligence (AI) [PDF]

, 2023
Syed Ijaz Ul Haq, Muhammad Naveed Tahir, Yubin Lan   +2 more
openalex   +1 more source

Deteksi Virus Tungro Pada Gulma Padi Sawah Menggunakan Teknik PCR [PDF]

, 2016
Virus tungro disease is a serious problem to rice crop in a certain area of rice production in Indonesia. The disease is caused by a combined infection of Rice Tungro Bacilliform Virus (RTBV) and Rice Tungro Spherical Virus (RTSV).
Damayanti, T. A. (Tri), Hidayat, S. H. (Sri), Ladja, F. T. (Fausiah), Rauf, A. (Aunu)   +3 more
core  

Climate Change Has Already Reshaped North American Forest Pest Dynamics: Insights From Multidecadal Process‐Based Modelling

Global Change Biology Communications, EarlyView.
Climate change has rapidly expanded and shifted suitable climate conditions for eight major forest pests across North America, especially toward northern and higher elevation areas. Host exposure and overlap among pests are increasing, raising ecological and economic risks, and signaling accelerating future impacts under continued warming.
Yan Boulanger, Chris J. K. MacQuarrie, Véronique Martel, Jacques Régnière, Rémi Saint‐Amant, Kishan Sambaraju   +5 more
wiley   +1 more source

HAD-YOLO: An Accurate and Effective Weed Detection Model Based on Improved YOLOV5 Network

Agronomy
Weeds significantly impact crop yields and quality, necessitating strict control. Effective weed identification is essential to precision weeding in the field.
Long Deng, Zhonghua Miao, Xueguan Zhao, Shuo Yang, Yuanyuan Gao, Changyuan Zhai, Chunjiang Zhao   +6 more
doaj   +1 more source

Combining physical and cultural weed control with biological methods – prospects for integrated non-chemical weed management strategies [PDF]

, 2004
The paper deals with the possibilities of combining physical weed control with biological weed ...
Hatcher, Scientist Paul, Melander, Scientist Bo   +1 more
core  

Selection for persistence of endophyte‐free meadow fescue under intensive grazing versus frequent mowing

Grassland Research, EarlyView.
Cattle grazing meadow fescue pasture in remnant oak savanna near Fennimore, Wisconsin. Abstract Background Meadow fescue (Schedonorus pratensis (Huds.) P. Beauv.) is highly adapted to managed rotational grazing systems with sufficient rest periods to promote regrowth and sward longevity.
Michael D. Casler
wiley   +1 more source