[HTML][HTML] Carbon sequestration potential, challenges, and strategies towards climate action in smallholder agricultural systems of South Asia
South Asia is a global hotspot for climate change with enormous pressure on land and water
resources for feeding the burgeoning population. The agricultural production systems are …
resources for feeding the burgeoning population. The agricultural production systems are …
[HTML][HTML] Beans with Benefits—The Role of Mungbean (Vigna radiate) in a Changing Environment
Dryland areas are experiencing low agricultural yields due to severe water shortages and
salinity, leading to food scarcity. Mungbean (Vigna radiate) is gaining attention as a short …
salinity, leading to food scarcity. Mungbean (Vigna radiate) is gaining attention as a short …
Potential for optimization of energy consumption and costs in saffron production in central Iran through data envelopment analysis and multi‐objective genetic …
E Saeidi, AL Dehkordi… - … Progress & Sustainable …, 2022 - Wiley Online Library
Technical management of agricultural units plays an important role in increasing the yield,
energy efficiency, and decreasing the production costs. Based on that, the present study …
energy efficiency, and decreasing the production costs. Based on that, the present study …
Conservation tillage and weed management influencing weed dynamics, crop performance, soil properties, and profitability in a rice–wheat–greengram system in the …
A three-year field experiment was carried out to assess the efficacy of various tillage and
residue management practices, as well as weed management approaches, in a rice–wheat …
residue management practices, as well as weed management approaches, in a rice–wheat …
Co-implementation of tillage, irrigation, and fertilizers in soybean: Impact on crop productivity, soil moisture, and soil microbial dynamics
Due to depleting water supplies and the cultivation of high water-demanding crops like rice,
water deficit in crop production has become a major concern, especially in semi-arid regions …
water deficit in crop production has become a major concern, especially in semi-arid regions …
Long-term conservation tillage and precision nutrient management in maize–wheat crop** system: effect on soil properties, crop production, and economics
Intensive tillage coupled with imbalanced nutrient management in maize–wheat systems in
low-carbon calcareous soils often results in poor productivity vis-à-vis degradation in soil …
low-carbon calcareous soils often results in poor productivity vis-à-vis degradation in soil …
Energy and carbon budgeting in a soybean–wheat system in different tillage, irrigation and fertilizer management practices in South-Asian semi-arid agroecology
The sustainability of agricultural production systems is significantly threatened due to climate
change and land degradation. Agricultural practices like conventional tillage with …
change and land degradation. Agricultural practices like conventional tillage with …
Soil quality and carbon sequestration under conservation agriculture with balanced nutrition in intensive cereal-based system
Conventional tillage practices and imbalanced use of inorganic fertilizers is well known to
result in poor soil health. Alternative tillage and precision nutrient management are …
result in poor soil health. Alternative tillage and precision nutrient management are …
Combining sub-surface fertigation with conservation agriculture in intensively irrigated rice under rice-wheat system can be an option for sustainably improving water …
Context The rice-wheat crop** system in the Indo-Gangetic plains (IGP) of South Asia has
been shown to have higher productivity. However, this benefit is offset by the unsustainable …
been shown to have higher productivity. However, this benefit is offset by the unsustainable …
A geographically weighted random forest approach to predict corn yield in the US corn belt
Crop yield prediction before the harvest is crucial for food security, grain trade, and policy
making. Previously, several machine learning methods have been applied to predict crop …
making. Previously, several machine learning methods have been applied to predict crop …