نتایج جستجو برای: Crop yield
تعداد نتایج: 245617 فیلتر نتایج به سال:
Traditional farming practices suggest that cultivation of a mixture of crop species in the same field through temporal and spatial management may be advantageous in boosting yields and preventing disease, but evidence from large-scale field testing is limited. Increasing crop diversity through intercropping addresses the problem of increasing land utilization and crop productivity. In collabora...
• Why do we need to estimate the entire distribution? The distribution of an economic entity is of fundamental importance to decision makers, especially if they are risk averse and the underlying distribution is not Gaussian, a situation that calls for consideration of factors beyond the usual mean variance analysis. In particular the tail distribution plays a particularly crucial role in risk ...
In complex task domains, such as games, students may exceed their teachers. Such tasks afford diverse means to tradeoff one type of performance for another, combining task elements in novel ways to yield method variations and strategy discoveries that, if mastered, might produce large or small leaps in performance. For the researcher interested in the development of extreme expertise in the wil...
A 3- years (2015, 2016 and 2017) field study was carried out at National Wheat Research Program, Bhirahawa, Rupandehi, Nepal to evaluate the influence of crop residues and nitrogen levels on rice. The experiment was conducted in split plot design with three replications. Main plots were two crop residue levels (with crop residues of 30 cm wheat stubble and without crop residues) and sub plots c...
Crop yield prediction has an important role in agricultural policies such as specification of the crop price. Crop yield prediction researches have been based on regression analysis. In this research canola yield was predicted using Artificial Neural Networks (ANN) using 11 crop year climate data (1998-2009) in Gonbad-e-Kavoos region of Golestan province. ANN inputs were mean weekly rainfall, m...
This study examines three alternative models of correcting for heteroskedasticity in wheat yield: the time trend variance, the GARCH, and an econometric model that includes the potential sources of heteroskedasticity. Nonnested test results suggest that modeling the sources of heteroskedasticity is the preferred procedure. Including potential sources of heteroskedasticity as explanatory variabl...
A 3- years (2015, 2016 and 2017) field study was carried out at National Wheat Research Program, Bhirahawa, Rupandehi, Nepal to evaluate the influence of crop residues and nitrogen levels on rice. The experiment was conducted in split plot design with three replications. Main plots were two crop residue levels (with crop residues of 30 cm wheat stubble and without crop residues) and sub plots c...
Th e response of diff erent fertilizer doses was studied on the ratoon crop as well as main crop. Th e diff erent fertilizer doses under the study were F1 (N=90, P2O5 = 45, K2O=50, S=13, Zn = 4: in kg ha-1), F2 (N=105, P2O5 = 55, K2O=60, S=13, Zn = 4: in kg ha-1), F3 (N=120, P2O5 = 65, K2O=70, S=13, Zn = 4: in kg ha-1), F 4(N =135, P2O5 =75, K2O=80, S=13, Zn=4: in kg ha-1) and F5 (N=150, P2O5 =...
Accurate and timely information on rice crop growth and yield helps governments and other stakeholders adapting their economic policies, enables relief organizations to better anticipate and coordinate relief efforts in the wake of a natural catastrophe, and provides technical backbone of an insurance solution where risks of yield losses from the rice smallholders are transferred to the insuran...
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