Area Estimation and Yield Forecasting of Wheat in Southeastern Turkey Using a Machine Learning Approach
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-020-01196-3
Abstract: Accurate and timely information on yield forecasting is necessary for policymakers in decision-making. The case study was planned to develop a framework for the regional wheat yield forecasting model for southeastern Turkey. Therefore, after implementing… read more here.
Keywords: yield forecasting; machine learning; wheat; southeastern turkey ... See more keywords
A Direct-solution Fuzzy Collaborative Intelligence Approach for Yield Forecasting in Semiconductor Manufacturing
Sign Up to like & getrecommendations! Published in 2018 at "Procedia Manufacturing"
DOI: 10.1016/j.promfg.2018.10.021
Abstract: Abstract Yield forecasting is a critical task to every semiconductor manufacturer. However, the existing methods for yield forecasting often deal with the logarithmic or log-sigmoid value, rather than the original value, of yield. To resolve… read more here.
Keywords: yield forecasting; collaborative intelligence; fuzzy collaborative; yield ... See more keywords
Developing crop yield forecasting models for four major Ethiopian agricultural commodities
Sign Up to like & getrecommendations! Published in 2018 at "Remote Sensing Applications: Society and Environment"
DOI: 10.1016/j.rsase.2018.05.001
Abstract: Abstract Crop yield estimation in many developing countries (including Ethiopia) depends on conventional techniques of data collection and ground-based field reports. However, these methods are costly, time consuming, and prone to large errors because of… read more here.
Keywords: yield forecasting; crop yield; ground; yield ... See more keywords
Effectiveness of machine learning and deep learning models at county-level soybean yield forecasting
Sign Up to like & getrecommendations! Published in 2024 at "Hungarian Geographical Bulletin"
DOI: 10.15201/hungeobull.72.4.4
Abstract: Crop yield forecasting is critical in modern agriculture to ensure food security, economic stability, and effective resource management. The main goal of this study was to combine historical multisource satellite and environmental datasets with a… read more here.
Keywords: deep learning; yield; model; yield forecasting ... See more keywords
Review of Methods and Models for Potato Yield Prediction
Sign Up to like & getrecommendations! Published in 2025 at "Agriculture"
DOI: 10.3390/agriculture15040367
Abstract: This article provides a comprehensive overview of the development and application of statistical methods, process-based models, machine learning, and deep learning techniques in potato yield forecasting. It emphasizes the importance of integrating diverse data sources,… read more here.
Keywords: potato yield; yield; methods models; prediction ... See more keywords