Results 221 to 230 of about 82,941 (309)

Pesticide MRLs as Trade Barriers: Evidence From Vietnam's Coffee and Rice Exporters

Agribusiness, EarlyView.
ABSTRACT As tariffs have declined globally through bilateral and regional trade agreements, food safety standards have emerged as significant determinants of agricultural trade flows. This study examines the impact of maximum residue limits (MRLs) for five pesticides—Azoxystrobin, Chlorpyrifos, Chlorantraniliprole, Clothianidin, and Cyhalothrin—on ...
Nhat Mai Nguyen, Hoa‐Thi‐Minh Nguyen, Kaliappa Kalirajan   +2 more
wiley   +1 more source

Spatial variability of soil attributes and risk of phosphorus loss in different soil classes of the Potengi River Basin, Brazil. [PDF]

Environ Monit Assess
Ramalho JADN, da Cunha KPV, de Sousa MNFA, Pereira CVM, de Medeiros LF, Costa CW.   +5 more
europepmc   +1 more source

Deforestation and Efficiency: Insights From Forest Transition in the Brazilian Cerrado

Agribusiness, EarlyView.
ABSTRACT This paper estimates technical efficiency (TE) and environmental efficiency (EE) of agricultural production at the municipal level of the Brazilian Cerrado in 2006 and 2017, and investigates their underlying mechanisms in relation to forest transition theory.
Ricardo Muniz Simões, Cassiano Bragagnolo, Humberto Francisco Silva Spolador   +2 more
wiley   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Pyrolysis temperature regulates biochar-soil interactions to enhance cation exchange capacity, plant growth, and photosynthetic performance. [PDF]

BMC Plant Biol
Ghani MU, Gong Y, Lin T, Xu Y, Zeng T, Kamran M, Waseem M, Ai S.   +7 more
europepmc   +1 more source

An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

Advanced Intelligent Systems, EarlyView.
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li, Ailing Gao, Guoxu Liu, Chunlei Chen, Yonghui Zhang, Sunkyoung Kang, M. Khosravi   +6 more
wiley   +1 more source

Soil Microbial Dynamics in Regenerative Agriculture Systems: A Data-Driven Synthesis for Soil Health, Pest Suppression, and Yield Sustainability in the Western Canadian Prairies. [PDF]

Microorganisms
Nishu SD, Islam MN.
europepmc   +1 more source

Towards Advanced Intelligent and Perceptive Soft Grippers

Advanced Intelligent Systems, EarlyView.
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim, Hayeon Shin, Seik Park, Changbeom Shim, Seonggun Joe   +4 more
wiley   +1 more source

Dataset of field descriptions, physicochemical properties, and selective Fe-Al-Si extractions for 83 WRB-classified soil profiles (282 horizons) from tropical volcanic Réunion Island. [PDF]

Data Brief
Feder F.
europepmc   +1 more source

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source