Results 11 to 20 of about 2,200,665 (307)
, 2007 There are multiple uses for information on crop yield in relation to disease intensity. For instance, in addition to determining if a (potential) disease control method reduces disease intensity or the rate of disease increase, one can determine if the control has an effect on yield.
Madden, L. V. +2 more
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Crop‐Yield Distributions Revisited [PDF]
American Journal of Agricultural Economics, 2003 AbstractThis article revisits the issue of crop‐yield distributions using improved model specifications, estimation, and testing procedures that address the concerns raised in recent literature, which could have invalidated previous findings of yield nonnormality.
Octavio A. Ramirez +2 more
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A Survey on Deep Learning Based Crop Yield Prediction [PDF]
Nature Environment and Pollution Technology, 2023 Agriculture is the most important sector and the backbone of a developing country’s economy. Accurate crop yield prediction models can provide decision-making tools for farmers to make better decisions.
S. Archana and P. Senthil Kumar
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Crop Yield Gaps in Cameroon [PDF]
AMBIO, 2013 Although food crop yields per hectare have generally been increasing in Cameroon since 1961, the food price crisis of 2008 and the ensuing social unrest and fatalities raised concerns about the country's ability to meet the food needs of its population.
Genesis T, Yengoh, Jonas, Ardö
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An efficient hydro-crop growth prediction system for nutrient analysis using machine learning algorithm [PDF]
, 2023 The hydro nutrient management (HNM) for crop yield is effectively improved using proposed system. A hydro-crop growth prediction system (HCGPS) is designed using machine learning. The reconfigurable nutrients uptake crop yield prediction rate is enhanced.
Parthasarathy Govindaswamy +5 more
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Frontiers in Plant Science, 2017 Spike-related traits such as spike length (Sl), fertile spikelet number (Fsn), sterile spikelet number (Ssn), grain number per spike (Gns), and thousand-kernel weight (Tkw) are important factors influencing wheat yield.
Zhiying Deng +5 more
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Remote Sensing, 2021 To meet the sustainable development goals in rocky desertified regions like Guizhou Province in China, we should maximize the crop yield with minimal environmental costs. In this study, we first calculated the yield gap for 6 main crop species in Guizhou
Boyi Liang +4 more
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Boosting Crop Yields with Plant Steroids [PDF]
The 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
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Advancements in remote sensing based crop yield modelling in India
Journal of Agrometeorology, 2023 Crop yield prediction at regional levels is an essential task for the decision-makers for rapid decision making. Pre-harvest prediction of a crop yield can prevent a disastrous situation and help decision-makers to apply more reliable and accurate ...
N. R. PATEL +2 more
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Crop yield increase with precision technologies: A review [PDF]
Ratarstvo i PovrtarstvoIt 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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