Estimation of Main Crop Yield Functions Using Weather Conditions
نویسندگان
چکیده
منابع مشابه
Understanding the weather signal in national crop-yield variability: Weather-signal in crop-yield variability
Year-to-year variations in crop yields can have major impacts on the livelihoods of subsistence farmers and may trigger significant global price fluctuations, with severe consequences for people in developing countries. Fluctuations can be induced by weather conditions, management decisions, weeds, diseases, and pests. Although an explicit quantification and deeper understanding of weather-indu...
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The rise in water demand for agriculture, industry, domestic, and environmental needs requires sagacious use of this limited resource. Since agriculture (mainly irrigation) is the major user of water, improving agricultural water management is essential. Efficient agricultural water management requires reliable estimation of crop water requirement (evapotranspiration). Evapotranspiration (ET) i...
متن کاملUnderstanding the weather signal in national crop-yield variability
31 Year-to-year variations in crop yields can have major impacts on the livelihoods of subsistence farmers 32 and may trigger significant global price fluctuations with severe consequences for people in developing 33 countries. Fluctuations can be induced by weather conditions, management decisions, weeds, diseases, 34 and pests. Although an explicit quantification and deeper understanding of w...
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Cropping sequence diversification provides a systems approach to reduce yield variations and improve resilience to multiple environmental stresses. Yield advantages of more diverse crop rotations and their synergistic effects with reduced tillage are well documented, but few studies have quantified the impact of these management practices on yields and their stability when soil moisture is limi...
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Crop yield estimation is an important task in apple orchard management. The current manual sampling-based yield estimation is time-consuming, labor-intensive and inaccurate. To deal with this challenge, we developed a computer vision-based system for automated, rapid and accurate yield estimation. The system uses a two-camera stereo rig for image acquisition. It works at nighttime with controll...
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ژورنال
عنوان ژورنال: Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research)
سال: 2013
ISSN: 2185-6648
DOI: 10.2208/jscejer.69.i_27