TY - GEN
T1 - Genetic algorithm based suggestion approach for state wise crop production in India
AU - Gusain, Saakshi
AU - Kansal, Kunal
AU - Pradhan, Tribikram
N1 - Publisher Copyright:
© Springer International Publishing AG 2016.
PY - 2016
Y1 - 2016
N2 - Agriculture is considered as the backbone of Indian economy. Despite the tremendous increase in industrialization and advancement in technology, a majority of India’s population is dependent on agriculture. Agriculture in India is not uniform throughout. In this paper, rule based classification has been applied to classify the states based on the amount of rainfall. The accuracy of Classification results is validated using Random Forest algorithm. Also we have found the major crops that can be grown in a state using a proposed algorithm by analyzing the soil, temperature and rainfall data. Due to time constraint and non-optimal usage of land resources, cultivation of all the suggested crops is not possible. Therefore, Genetic Algorithm is applied to give the best possible suggestion for crop cultivation across various states in India. So our proposed method will help to maximize the overall agriculture production in India.
AB - Agriculture is considered as the backbone of Indian economy. Despite the tremendous increase in industrialization and advancement in technology, a majority of India’s population is dependent on agriculture. Agriculture in India is not uniform throughout. In this paper, rule based classification has been applied to classify the states based on the amount of rainfall. The accuracy of Classification results is validated using Random Forest algorithm. Also we have found the major crops that can be grown in a state using a proposed algorithm by analyzing the soil, temperature and rainfall data. Due to time constraint and non-optimal usage of land resources, cultivation of all the suggested crops is not possible. Therefore, Genetic Algorithm is applied to give the best possible suggestion for crop cultivation across various states in India. So our proposed method will help to maximize the overall agriculture production in India.
UR - https://www.scopus.com/pages/publications/84989857135
UR - https://www.scopus.com/pages/publications/84989857135#tab=citedBy
U2 - 10.1007/978-3-319-47952-1_62
DO - 10.1007/978-3-319-47952-1_62
M3 - Conference contribution
AN - SCOPUS:84989857135
SN - 9783319479514
VL - 530
T3 - Advances in Intelligent Systems and Computing
SP - 771
EP - 787
BT - Intelligent Systems Technologies and Applications 2016
A2 - Mitra, Sushmita
A2 - Thampi, Sabu M.
A2 - El-Alfy, El-Sayed
A2 - Rodriguez, Juan Manuel Corchado
PB - Springer Verlag
T2 - International Symposium on Intelligent Systems Technologies and Applications, ISTA 2016
Y2 - 21 September 2016 through 24 September 2016
ER -
