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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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A CNN-RNN Framework for Crop Yield Prediction [PDF]
Frontiers in Plant Science, 2020 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 +2 more
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A Systematic Literature Review on Crop Yield Prediction with Deep Learning and Remote Sensing
Remote Sensing, 2022 Deep learning has emerged as a potential tool for crop yield prediction, allowing the model to automatically extract features and learn from the datasets. Meanwhile, smart farming technology enables the farmers to achieve maximum crop yield by extracting
Priyanga Muruganantham +4 more
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IEEE Access, 2021 An early and reliable estimation of crop yield is essential in quantitative and financial evaluation at the field level for determining strategic plans in agricultural commodities for import-export policies and doubling farmer’s incomes.
Mamunur Rashid +4 more
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AI-enabled Barilai–Borwein–Blinder–Oaxaca–Bernoulli Deep Classifier for Enhanced Crop Yield Prediction [PDF]
Scientific ReportsThis article explores the integration of advanced Artificial Intelligence (AI) enabled deep learning methods with accurate crop yield prediction. The objective of the work is to enhance the accuracy, sensitivity, and specificity of crop yield prediction.
Rajesh Kumar Dhanaraj +3 more
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An interaction regression model for crop yield prediction [PDF]
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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Optimizing Crop Yield Prediction: An In-Depth Analysis of Outlier Detection Algorithms on Davangere Region [PDF]
The Scientific World JournalCrop yield prediction is a critical aspect of agricultural planning and resource allocation, with outlier detection algorithms playing a vital role in refining the accuracy of predictive models.
C. S. Anu +3 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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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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Frontiers in Plant Science, 2023 Rapid and accurate prediction of crop yield is particularly important for ensuring national and regional food security and guiding the formulation of agricultural and rural development plans. Due to unmanned aerial vehicles’ ultra-high spatial resolution,
Hongkui Zhou +5 more
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