Results 161 to 170 of about 20,924 (296)

Is Precision Agriculture Technology Adoption Persistently Overestimated?

Agribusiness, EarlyView.
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone, Chad Fiechter, Zanliang Meng, James Lowenberg‐DeBoer, Bruce Erickson, Jay Akridge   +5 more
wiley   +1 more source

Improving the bearing capacity of helical tapered piles using gum injection in FCV. [PDF]

Sci Rep
Khanmohammadi M, Hashemolhosseini H, Golabdar MJ, Almasi M.   +3 more
europepmc   +1 more source

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

INFLUENCE OF PARTICLE-SIZE DISTRIBUTION MEASUREMENT METHOD ON THE PREDICTION OF SOIL WATER RETENTION CURVE

, 2013
Application of the Arya and Paris (AP) model to estimate the soil water retention curve requires detailed particle-size distributions (PSD) that can be obtained by fitting a continuous model to traditional sieve-hydrometer (SH) data or using the laser ...
BAGARELLO, Vincenzo, ANTINORO, Chiara, IOVINO, Massimo, GIORDANO, Giuseppe, FERRO, Vito   +4 more
core   +1 more source

Optimizing planting density for enhancing the synergistic effect of electrokinetic-phytoremediation in petroleum-contaminated soils. [PDF]

Front Plant Sci
Gao P, Liu S, Kou W, Jing J.
europepmc   +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

Effects of aerated irrigation and nitrogen fertilization on soil properties and water and nitrogen use efficiency in maize. [PDF]

Front Plant Sci
Zhao Y, Yu Z, Wang H, An Z.
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

Study on the strength and erosion resistance of soil-amended substrates for rock slopes in Fugu County. [PDF]

Sci Rep
Deng N, Xu C, Bai X, Zhang S, Mao Z.
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