Results 21 to 30 of about 4,857,354 (360)
Ecology Letters, 2020 Floral plantings are promoted to foster ecological intensification of agriculture through provisioning of ecosystem services. However, a comprehensive assessment of the effectiveness of different floral plantings, their characteristics and consequences ...
M. Albrecht +43 more
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Crop Yield Prediction Using Deep Neural Networks [PDF]
Frontiers in Plant Science, 2019 Crop yield is a highly complex trait determined by multiple factors such as genotype, environment, and their interactions. Accurate yield prediction requires fundamental understanding of the functional relationship between yield and these interactive ...
Saeed Khaki, Lizhi Wang
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An interaction regression model for crop yield prediction
Scientific Reports, 2021 Crop yield prediction is crucial for global food security yet notoriously challenging due to multitudinous factors that jointly determine the yield, including genotype, environment, management, and their complex interactions.
Javad Ansarifar +2 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
doaj +1 more source
A CNN-RNN Framework for Crop Yield Prediction [PDF]
Frontiers in Plant Science, 2019 Crop yield prediction is extremely challenging due to its dependence on multiple factors such as crop genotype, environmental factors, management practices, and their interactions.
Saeed Khaki, Lizhi Wang, S. Archontoulis
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Deep Learning Based Wheat Crop Yield Prediction Model in Punjab Region of North India
Applied Artificial Intelligence, 2021 Crop yield prediction is an important aspect of agriculture. The timely and accurate crop yield predictions can be of great help for policy makers and farmers in planning and decision making. Generally, statistical models are employed to predict the crop
Nishu Bali, Anshu Singla
semanticscholar +1 more source
Tillage effects on soil properties and crop yield after land reclamation
Scientific Reports, 2021 Tillage treatments have an important effect on soil microstructure characteristics, water thermal properties and nutrients, but little is known in the newly reclaimed cultivated land.
Zhe Liu +7 more
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Deep Learning Based Prediction on Greenhouse Crop Yield Combined TCN and RNN
Italian National Conference on Sensors, 2021 Currently, greenhouses are widely applied for plant growth, and environmental parameters can also be controlled in the modern greenhouse to guarantee the maximum crop yield.
Liyun Gong +4 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 Prediction in Precision Agriculture
Agronomy, 2022 Predicting crop yields is one of the most challenging tasks in agriculture. It plays an essential role in decision making at global, regional, and field levels. Soil, meteorological, environmental, and crop parameters are used to predict crop yield.
A. Nyéki, M. Neményi
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