Results 21 to 30 of about 870,191 (308)
Crop yield increase with precision technologies: A review [PDF]
It is obvious that the end product of any crop production activity embarked upon by any farmer/agronomist is yield. This review paper is aimed at diagnosing various ways or approaches through which crop yield could be increased to meet the need of the ...
Okoro Orji Kalu, Oluebube Jecinta Okorie
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The statistical emulators of GGCMI phase 2: responses of year-to-year variation of crop yield to CO2, temperature, water, and nitrogen perturbations [PDF]
Understanding the impact of climate change on year-to-year variation of crop yield is critical to global food stability and security. While crop model emulators are believed to be lightweight tools to replace the models, few emulators have been developed
W. Liu +19 more
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This study was conducted under cold temperate climate condition in Khorasan during 2006-2008 growing season to determine the suitable preceding crop, nitrogen and crop residue management for wheat.
M. Rahimizadeh +2 more
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Trap crop diversity enhances crop yield [PDF]
Abstract Diverse plantings provide many benefits for agroecosystem health. For example, trap crops that are highly attractive to pests can protect nearby, less attractive host plants. However, it is unclear whether increasing biodiversity of trap crops themselves might increase the effectiveness of this pest-management technique.
Joyce E. Parker +3 more
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This study developed a rapid rice yield estimation workflow and customized yield prediction model by integrating remote sensing and meteorological data with machine learning (ML).
Md Didarul Islam +7 more
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Boosting Crop Yields with Plant Steroids [PDF]
Plant sterols and steroid hormones, the brassinosteroids (BRs), are compounds that exert a wide range of biological activities. They are essential for plant growth, reproduction, and responses to various abiotic and biotic stresses. Given the importance of sterols and BRs in these processes, engineering their biosynthetic and signaling pathways offers ...
Vriet, Cécile +2 more
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The crop model data assimilation approach has been acknowledged as an effective tool for monitoring crop growth and estimating yield. However, the choice of assimilated variables and the mismatch in scale between remotely sensed observations and crop ...
Wen Zhuo +4 more
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The influence of organic and conventional fertilisation and crop protection practices, preceding crop, harvest year and weather conditions on yield and quality of potato (Solanum tuberosum) in a long-term management trial [PDF]
The effects of organic versus conventional crop management practices (fertilisation, crop protection) and preceding crop on potato tuber yield (total, marketable, tuber size grade distribution) and quality (proportion of diseased, green and damaged ...
Baranski, Marcin +14 more
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Projecting future changes in crop yield usually relies on process-based crop models, but the associated uncertainties (i.e. the range between models) are often high. In this study, a Machine Learning (i.e.
Xiaomeng Yin, Guoyong Leng
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Crop yield prediction method based on an improved neural network
Crop yield forecasting plays a decisive role in the development of national economy planned by the government. It is of great significance to rationally plan planting strategies and reduce the waste of water and fertilizer.
Liu Peng, Zheng Yong, Yang Hongjun
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