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Rice–wheat system in the northwest Indo-Gangetic plains of South Asia: Issues and technological interventions for increasing productivity and sustainability
Puddled transplanted rice (Oryza sativa L.) followed by intensively tilled wheat (Triticum
aestivum L.)(R–W) is the most predominant crop** system and the lifeline for billions of …
aestivum L.)(R–W) is the most predominant crop** system and the lifeline for billions of …
Productivity and sustainability of the rice–wheat crop** system in the Indo-Gangetic Plains of the Indian subcontinent: problems, opportunities, and strategies
Rice and wheat are the staple foods for almost the entire Asian population and therefore
they occupy a premium position among all food commodities. The era of the Green …
they occupy a premium position among all food commodities. The era of the Green …
Optimizing intensive cereal-based crop** systems addressing current and future drivers of agricultural change in the northwestern Indo-Gangetic Plains of India
Increasing scarcity of resources (labour, water, and energy) and cost of production, along
with climate variability, are major challenges for the sustainability of rice–wheat system in …
with climate variability, are major challenges for the sustainability of rice–wheat system in …
Halting the groundwater decline in north-west India—which crop technologies will be winners?
E Humphreys, SS Kukal, EW Christen, GS Hira… - Advances in …, 2010 - Elsevier
Increasing the productivity of the rice–wheat (RW) system in north-west India is critical for the
food security of India. However, yields are stagnating or declining, and the rate of …
food security of India. However, yields are stagnating or declining, and the rate of …
A survey towards decision support system on smart irrigation scheduling using machine learning approaches
From last decade, Big data analytics and machine learning is a hotspot research area in the
domain of agriculture. Agriculture analytics is a data intensive multidisciplinary problem. Big …
domain of agriculture. Agriculture analytics is a data intensive multidisciplinary problem. Big …
[HTML][HTML] Conservation agriculture improves agronomic, economic, and soil fertility indicators for a clay soil in a rainfed Mediterranean climate in Morocco
CONTEXT Declining rainfall with increasing variability, increasing temperature extremes,
and declining soil fertility are threatening crop production and ultimately food security in the …
and declining soil fertility are threatening crop production and ultimately food security in the …
Water management in rice
Rice is the staple food for billions of people in the world. This crop has important cultural,
economic, and social impacts on the lives of people. One of the major challenges for food …
economic, and social impacts on the lives of people. One of the major challenges for food …
Calibration and validation of APSIM-Wheat and CERES-Wheat for spring wheat under rainfed conditions: Models evaluation and application
Crop growth in process based crop models is controlled by different parameters. Model
calibration is necessary for application to new cultivars and environment. We applied a …
calibration is necessary for application to new cultivars and environment. We applied a …
A comprehensive review of the CERES-wheat,-maize and-rice models' performances
Abstract The Crop Environment Resource Synthesis (CERES) models have been developed
and utilized for the last 30 years to simulate crop growth in response to climate, soil …
and utilized for the last 30 years to simulate crop growth in response to climate, soil …
Growth, yield and water productivity of zero till wheat as affected by rice straw mulch and irrigation schedule
E Humphreys, PL Eberbach, A Katupitiya, SS Kukal - Field Crops Research, 2011 - Elsevier
Intensive cultivation of rice and wheat in north-west India has resulted in air pollution from
rice straw burning, soil degradation and declining groundwater resources. The retention of …
rice straw burning, soil degradation and declining groundwater resources. The retention of …