A5060788688- Rice Cultivation and Yield Improvement
- Irrigation Practices and Water Management
- Plant responses to water stress
- Agricultural Systems and Practices
- Agricultural Economics and Practices
- Soil and Unsaturated Flow
- Water-Energy-Food Nexus Studies
- Climate change impacts on agriculture
- Soil Carbon and Nitrogen Dynamics
- Agricultural Science and Fertilization
- Water resources management and optimization
- Agricultural Innovations and Practices
- Crop Yield and Soil Fertility
- GABA and Rice Research
- Reservoir Engineering and Simulation Methods
- Protein Hydrolysis and Bioactive Peptides
- Agriculture, Soil, Plant Science
- Agriculture, Land Use, Rural Development
- Bioenergy crop production and management
- Hydrology and Drought Analysis
- Energy and Environment Impacts
- Fisheries and Aquaculture Studies
- Research in Cotton Cultivation
- Agricultural risk and resilience
- Enhanced Oil Recovery Techniques
The University of Queensland
2022-2025
Agriculture and Food
2022-2025
International Rice Research Institute
2015-2024
Pandit Deendayal Petroleum University
2023-2024
Botanical Survey of India
2020-2024
Guru Kashi University
2020
Punjab Agricultural University
2007-2015
International Crops Research Institute for the Semi-Arid Tropics
2014-2015
The University of Adelaide
2008-2012
The desire to increase agricultural productivity through the high usage of agrochemicals is causing substantial environmental deterioration. Many developing countries lack capacity quantify agro-pollution, especially in case chemical inputs such as pesticides, preventing them from formulating action plans mitigate negative impacts agro-chemicals. This study aims address knowledge gap Sri Lanka by assessing water quality at a temporal and geospatial scale, focusing on areas with significant...
Biochar is a promising carbon sequestration strategy, however, the mechanisms underlying regulation of microbial-derived (M-C) and plant-derived (P-C) in soil organic (SOC) formation stabilisation remain elusive, constraining accurate predictions pool. This study examined biotic abiotic factors that influence plant microbial biomarkers SOC accumulation. A 5-year field experiment was conducted temperate wheat-maize agroecosystem north-western China, with three treatments: (i) no straw...
Sustainability of rice production systems is a prime concern for Asia to maintain food security and support economic growth. This gain in productivity not only depends on agricultural inputs but also social environmental factors. To address these emerging issues, new resource- capital-efficient profitable technologies have been introduced. The conventional method (puddling manual transplanting, PTR) considered as highly input intensive. As an alternative, dry direct seeded (DSR) using seed...
Alternate wetting and drying (AWD) is a low-cost innovation that enables farmers to adapt increasingly water scarcity conditions (such as drought), increase overall farm production efficiency, mitigate greenhouse gas (GHG) emissions. It seen pathway for transforming agri-food systems into more resilient, productive, biologically diverse, equitable forms, ensuring our commitments the UN Sustainable Development Goals (SDGs). This paper uses scaling up uncertainty frameworks review success...
Rice and fish are preferred foods, critical for healthy nutritious diets, provide the foundations of local national economies across Asia. Although transformations, or "revolutions", in agriculture aquaculture over past half-century have primarily relied upon intensified monoculture to increase rice production, agroecological approaches that support biodiversity utilize natural processes particularly relevant achieving a transformation towards food systems with more inclusive,...
ABSTRACT Timely and reliable estimates of reference evapotranspiration (ET 0 ) are imperative for robust water resources planning management. Applying machine learning (ML) algorithms estimating ET has been evolving, their applicability in different sectors is still a compelling field research. In this study, four Gaussian process regression (GPR) algorithms—polynomial kernel (PK), polynomial universal function (PUK), normalized poly (NPK), radial basis (RBF)—were compared against widely...