Method of corn yield prediction per grain applying Fuzzy Cognitive Maps

• Дата: 2024
• Автори: Popov, Mykhailo, Tarariko, Oleksandr, Alpert, Sofiia, Kokhan, Svitlana, Ilienko, Tetiana, Andreiev, Artem, Sybirtseva, Oksana
• Формат: Стаття
• Мова: Ukrainian
• Опубліковано: Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine 2024
• Теми: Fuzzy Cognitive Maps; decision making; satellite and expert data; corn yield prediction
• Онлайн доступ: https://ujrs.org.ua/ujrs/article/view/261
• Назва журналу: Ukrainian Journal of Remote Sensing of the Earth

This work investigates the approach for predicting corn yield per grain using Fuzzy Cognitive Maps (FCMs) and an expert approach to describe the degree of influence of one factor (concept) on another. FCMs is a modeling methodology based on operating experience. It includes the main advantages of fu...