Information Journal Paper
APA:
Copy. (2015). Prediction of Wheat Production Using Artificial Neural Networks and Investigating Indirect Factors Affecting It: Case Study in Canterbury Province, New Zealand. JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY (JAST), 17(4), 791-803. SID. https://sid.ir/paper/719869/en
Vancouver:
Copy. Prediction of Wheat Production Using Artificial Neural Networks and Investigating Indirect Factors Affecting It: Case Study in Canterbury Province, New Zealand. JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY (JAST)[Internet]. 2015;17(4):791-803. Available from: https://sid.ir/paper/719869/en
IEEE:
Copy, “Prediction of Wheat Production Using Artificial Neural Networks and Investigating Indirect Factors Affecting It: Case Study in Canterbury Province, New Zealand,” JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY (JAST), vol. 17, no. 4, pp. 791–803, 2015, [Online]. Available: https://sid.ir/paper/719869/en