Hybrid learning of fuzzy cognitive maps for sugarcane yield classification

Author:

Natarajan Rajathi,Subramanian Jayashree,Papageorgiou Elpiniki I.

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference45 articles.

1. The use of large-area spectral data in wheat yield estimation;Barnett;Remote Sens. Environ.,1982

2. Measuring the impact of climate change on South African Agriculture: the case of sugarcane growing regions;Deressa;Agrekon,2005

3. Statistical and neural methods for site-specific yield prediction;Drummond;Trans. ASAE,2003

4. Analysis of the factors affecting sugarcane (Saccharum officinarum) production under the out growers scheme in Numan Local Government Area Adamawa State, Nigeria;Girei;Adv. Agric. Sci. Eng. Res.,2012

5. Gotoh, K., Murakami, J., Yamaguchi, T., Yamanaka, Y., 1989, October. Application of fuzzy cognitive maps to supporting for plant control. In: SICE Joint Symposium of 15th System Symposium and 10th Knowledge Engineering Symposium.

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