Results 21 to 30 of about 870,191 (308)

Crop yield increase with precision technologies: A review [PDF]

open access: yesRatarstvo i Povrtarstvo
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
doaj   +1 more source

The statistical emulators of GGCMI phase 2: responses of year-to-year variation of crop yield to CO2, temperature, water, and nitrogen perturbations [PDF]

open access: yesGeoscientific Model Development, 2023
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
doaj   +1 more source

The Effect of Preceding Crop, Nitrogen Fertilizer and Return of Crop Residue on Growth and Yield of Wheat

open access: yesپژوهشهای زراعی ایران, 2011
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
doaj   +3 more sources

Trap crop diversity enhances crop yield [PDF]

open access: yesAgriculture, Ecosystems & Environment, 2016
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
openaire   +1 more source

Rapid Rice Yield Estimation Using Integrated Remote Sensing and Meteorological Data and Machine Learning

open access: yesRemote Sensing, 2023
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
doaj   +1 more source

Boosting Crop Yields with Plant Steroids [PDF]

open access: yesThe Plant Cell, 2012
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
openaire   +3 more sources

An Improved Approach of Winter Wheat Yield Estimation by Jointly Assimilating Remotely Sensed Leaf Area Index and Soil Moisture into the WOFOST Model

open access: yesRemote Sensing, 2023
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
doaj   +1 more source

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]

open access: yes, 2013
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
core   +1 more source

Observational constraint of process crop models suggests higher risks for global maize yield under climate change

open access: yesEnvironmental Research Letters, 2022
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
doaj   +1 more source

Crop yield prediction method based on an improved neural network

open access: yesDianzi Jishu Yingyong, 2019
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
doaj   +1 more source

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