[HTML][HTML] Field scale wheat yield prediction using ensemble machine learning techniques
Wheat is crucial for global food security and plays significant role in achieving United
Nations Sustainable Development Goal 2 (Zero Hunger). In India, wheat accounts for 33.5 …
Nations Sustainable Development Goal 2 (Zero Hunger). In India, wheat accounts for 33.5 …
Assessment of future drought sensitivity shift associated with crop yield loss risk in the Anthropocene
This study proposed a framework using artificial neural networks (ANNs), the designed
residual regression method, and probabilistic indexing, for drought sensitivity shift analysis …
residual regression method, and probabilistic indexing, for drought sensitivity shift analysis …
Enhancing Intercropping Yield Predictability Using Optimally Driven Feedback Neural Network and Loss Functions
Enhancing the crop yield predictability in intercropping systems is important for optimizing
agricultural productivity. However, accurately predicting yield in such systems is quite …
agricultural productivity. However, accurately predicting yield in such systems is quite …
[HTML][HTML] Predicting Starch Content in Early Potato Varieties Using Neural Networks and Regression Models: A Comparative Study
M Piekutowska, P Hara, K Pentoś, T Lenartowicz… - Agronomy, 2024 - mdpi.com
Starch content serves as a crucial indicator of the quality and palatability of potato tubers. It
has become a common practice to evaluate the polysaccharide content directly in tubers …
has become a common practice to evaluate the polysaccharide content directly in tubers …
[HTML][HTML] Employing an Artificial Neural Network Model to Predict Citrus Yield Based on Climate Factors
SS Almady, M Abdel-Sattar, SM Al-Sager… - Agronomy, 2024 - mdpi.com
Agricultural sustainability is dependent on the ability to predict crop yield, which is vital for
farmers, consumers, and researchers. Most of the works used the amount of rainfall, average …
farmers, consumers, and researchers. Most of the works used the amount of rainfall, average …
Neural Network Model for Predicting Apple Yield Based on Arrival of Phenological Stage in Conjunction with Leaf disease, Soil and Weather Parameters
Forecasting the yield of a vital crop-like apples needs to be done in a way that is both
accurate and dependable to facilitate effective planning and management. There have been …
accurate and dependable to facilitate effective planning and management. There have been …
Data Analytics Methods:: A Hands-On Approach for Precision Agriculture
B Ahmed, P Das, R Banerjee… - Artificial Intelligence for …, 2024 - taylorfrancis.com
The systematic inspection, cleansing, transformation, and interpretation of data to reveal
insights, patterns, and trends is called data analysis. Various data analysis methods and …
insights, patterns, and trends is called data analysis. Various data analysis methods and …