Redox regulation by priming agents toward a sustainable agriculture

DK Tripathi, JA Bhat, C Antoniou… - Plant and Cell …, 2024 - academic.oup.com
Plants are sessile organisms that are often subjected to a multitude of environmental
stresses, with the occurrence of these events being further intensified by global climate …

Relation of land surface temperature with different vegetation indices using multi-temporal remote sensing data in Sahiwal region, Pakistan

S Hussain, A Raza, HG Abdo, M Mubeen, A Tariq… - Geoscience Letters, 2023 - Springer
At the global and regional scales, green vegetation cover has the ability to affect the climate
and land surface fluxes. Climate is an important factor which plays an important role in …

Blockchain-enabled smart agriculture: Enhancing data-driven decision making and ensuring food security

KU Rehman, S Andleeb, M Ashfaq, N Akram… - Journal of Cleaner …, 2023 - Elsevier
Agriculture plays a vital role in global food security, but conventional practices have led to
environmental degradation and health risks due to excessive use of agricultural nutrients …

Multi-criteria analysis and geospatial applications-based mapping flood vulnerable areas: a case study from the eastern Mediterranean

HG Abdo, T Zeng, MJ Alshayeb, P Prasad… - Natural Hazards, 2024 - Springer
Floods are considered one of the most common natural hazards in the Eastern
Mediterranean. In western Syria, floods annually cause dozens of casualties with massive …

Future scenarios of bioclimatic viticulture indices in the eastern Mediterranean: Insights into sustainable vineyard management in a changing climate

K Alsafadi, S Bi, B Bashir, A Alsalman, AK Srivastava - Sustainability, 2023 - mdpi.com
The evaluation of bioclimatic viticulture indices (BVIs) zones, similar to any other crop,
necessitates a comprehensive understanding of the spatial variability of climate data. This …

[HTML][HTML] Advanced prediction of rice yield gaps under climate uncertainty using machine learning techniques in Eastern India

S Sahoo, C Singha, A Govind - Journal of Agriculture and Food Research, 2024 - Elsevier
The current study focuses on applying machine learning approaches to forecast future Kharif
rice yield gaps in eastern India while accounting for climate change implications. To achieve …

High-resolution precipitation modeling in complex terrains using hybrid interpolation techniques: incorporating physiographic and MODIS cloud cover influences

K Alsafadi, S Bi, B Bashir, E Sharifi, A Alsalman… - Remote Sensing, 2023 - mdpi.com
The inclusion of physiographic and atmospheric influences is critical for spatial modeling of
orographic precipitation in complex terrains. However, attempts to incorporate cloud cover …

Projected Climate Change Effects on Global Vegetation Growth: A Machine Learning Approach

KA Nguyen, U Seeboonruang, W Chen - Environments, 2023 - mdpi.com
In this study, a machine learning model was used to investigate the potential consequences
of climate change on vegetation growth. The methodology involved analyzing the historical …

Agricultural land suitability analysis of Southern Punjab, Pakistan using analytical hierarchy process (AHP) and multi-criteria decision analysis (MCDA) techniques

S Hussain, W Nasim, M Mubeen, S Fahad… - Cogent Food & …, 2024 - Taylor & Francis
Abstract Agricultural Land Suitability Analysis plays a pivotal role in sustainable land use
planning, aiding decision-makers in identifying areas most conducive to agriculture. This …

Land use/land change detection and determination of land surface temperature variation in green belt (Nasirabad) district of Balochistan, Pakistan

A Raza, NR Syed, R Fahmeed, S Acharki… - SN Applied …, 2023 - Springer
The current study determined the changes in Land Use/Land Change (LU/LC) and variation
in land surface temperature (LST) in the Green Belt (Nasirabad district) area of Balochistan …