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A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction
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 …
evaluation at the field level for determining strategic plans in agricultural commodities for …
Artificial intelligence in food safety: A decade review and bibliometric analysis
Z Liu, S Wang, Y Zhang, Y Feng, J Liu, H Zhu - Foods, 2023 - mdpi.com
Artificial Intelligence (AI) technologies have been powerful solutions used to improve food
yield, quality, and nutrition, increase safety and traceability while decreasing resource …
yield, quality, and nutrition, increase safety and traceability while decreasing resource …
Integrating multi-source data for rice yield prediction across China using machine learning and deep learning approaches
Timely and reliable yield prediction at a large scale is imperative and prerequisite to prevent
climate risk and ensure food security, especially with climate change and increasing …
climate risk and ensure food security, especially with climate change and increasing …
Extreme Gradient Boosting for yield estimation compared with Deep Learning approaches
F Huber, A Yushchenko, B Stratmann… - … and Electronics in …, 2022 - Elsevier
Accurate prediction of crop yield before harvest is of great importance for crop logistics,
market planning, and food distribution around the world. Yield prediction requires monitoring …
market planning, and food distribution around the world. Yield prediction requires monitoring …
Winter wheat yield prediction in the conterminous United States using solar-induced chlorophyll fluorescence data and XGBoost and random forest algorithm
Predicting crop yield before harvest and understanding the factors determining yield at a
regional scale is vital for global food security, supply chain management in agribusiness …
regional scale is vital for global food security, supply chain management in agribusiness …
Wheat yield estimation using remote sensing data based on machine learning approaches
Accurate predictions of wheat yields are essential to farmers' production plans and to the
international trade in wheat. However, only poor approximations of the productivity of wheat …
international trade in wheat. However, only poor approximations of the productivity of wheat …
Integrating satellite-derived climatic and vegetation indices to predict smallholder maize yield using deep learning
L Zhang, Z Zhang, Y Luo, J Cao, R ** machine learning models with multi-source environmental data to predict wheat yield in China
Crop yield is controlled by different environmental factors. Multi-source data for site-specific
soils, climates, and remotely sensed vegetation indices are essential for yield prediction …
soils, climates, and remotely sensed vegetation indices are essential for yield prediction …
[HTML][HTML] Integrating climate and satellite remote sensing data for predicting county-level wheat yield in China using machine learning methods
Early and reliable crop yield prediction on a large scale is imperative for making in-season
crop management decisions as well as for ensuring global food security. The integrated use …
crop management decisions as well as for ensuring global food security. The integrated use …