Results 121 to 130 of about 4,485 (309)

Assessment of Methane (CH₄) Emissions from Rice Paddy and Crop Residues Burning in 2011 with the IPCC Guideline Methodology [PDF]

, 2013
Eun-Jung Choi, Jong‐Sik Lee, Hyun Cheol Jeong, Gun Yeob Kim, Kyu Ho So   +4 more
openalex   +1 more source

Heavy Metal Contamination: Impacts From Plants to the Food Chain and Eco‐Friendly Amelioration Strategies

AgriFood: Journal of Agricultural Products for Food, EarlyView.
Heavy metal pollution reduces soil health and threatens food safety by entering plants; however, the use of nanoparticles, biofertilizers, and organic fertilizers such as biochar offers a promising strategy for improvement and sustainable agriculture. ABSTRACT Heavy metal (HM) pollution, resulting from human activities such as mining and the excessive ...
Sina Siavash Moghaddam, Latifeh Pourakbar, Sevda Alizadeh, Zahra Alizadeh, Jelena Popović‐Djordjević   +4 more
wiley   +1 more source

Impact of Crop Residue Burning on Soil Properties, Microbial Activity, and CO2 Emissions

Applied and Environmental Soil Science
Crop residue burning, a common agricultural practice in wheat cultivation, has significant implications for soil health, nutrient cycling, and microbial communities.
Wena Shafeeq Tawfeeq, Hastyar Hama Rashid Najmuldeen, Mohammed Hassan, Hassan Hussein Hama Amin, Ghafoor Ahmed Mam Rasul   +4 more
doaj   +1 more source

Farmers’ Protests in Germany: Media Coverage and Types of Bias

Agribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Enhancing accuracy of air quality and temperature forecasts during paddy crop-residue burning season in Delhi via chemical data assimilation

, 2020
Rajesh Kumar, Sachin D. Ghude, Mrinal K. Biswas, Chinmay Jena, Stefano Alessandrini, Sreyashi Debnath, Santosh H. Kulkarni, Simone Sperati, Vijay Kumar Soni, Ravi S. Nanjundiah, M. Rajeevan   +10 more
openalex   +2 more sources

Linking community structure and climate vulnerability in desert plant assemblages of southern California

American Journal of Botany, EarlyView.
Abstract Premise Desert plant assemblages in southern California provide an opportunity to link patterns of community structure with climate‐driven vulnerability in a rapidly changing environment. California sustains an exceptionally diverse flora of approximately 4300 plant species, with 31% identified as endemic.
Hector Zumbado‐Ulate, Luis E. Barrios, Danelle A. Baronia, G. Darrel Jenerette, Lynn C. Sweet   +4 more
wiley   +1 more source

Comparison of rat hypertrophic scar models: Caudal tension model with superior pathological consistency

Animal Models and Experimental Medicine, EarlyView.
This study compared hypertrophic scar (HS) formation in SD rats at ear, back, and tail sites with or without mechanical tension. The ear model healed spontaneously by day 30. Dorsal full‐thickness excision (1 × 8 cm) produced moderate HS. In contrast, the tail tension model showed the greatest scar thickness, fibroblast density, collagen deposition ...
Lingyi Zhan, Hong Xiang, Yaohui Kong, Yunfeng Lei, Shuqi Xiao, Shiqi Chen, Jiaming Li, Ziwei Li, Rui Ni, Dan Peng, Yao Liu   +10 more
wiley   +1 more source

Estimates of CO₂ emission from the burning of crop residues [PDF]

, 2000
The study determined the CO₂ emissions due to crop residue burning in rice and sugarcane production. Yearly, the two crops contribute about 4.46 million tons of C or about 16.36 million tons of CO₂.
Samson, Roger, Mendoza, Teodoro C.
core  

From fields to policy: analyzing the interplay between technology adoption and residue burning in Punjab, India

Environmental Research: Food Systems
Crop residue burning remains a critical environmental challenge in India’s rice-wheat system. This study provides new empirical evidence on the joint decision-making process underlying farmers’ adoption of crop residue management (CRM) machinery and ...
Eshita Gupta, Shibanjan Dutta, Heena Sharma, Damini Thakur, Subham Agarwal, Rajveer Singh, James Erbaugh, Gurpreet Singh, Gurulingappa Koppa, Priya Shyamsundar   +9 more
doaj   +1 more source