Sathya Santhar,Abhay Patra,Harish Bharti,Sarbajit K. Rakshit
申请号：
US16117558
公开号：
US20200074278A1
申请日:
2018.08.30
申请国别(地区):
US
年份:
2020
代理人:
摘要：
Optimizing the allocation of farmland between different crops is provided. First and second Deep Boltzmann machines (DBMs) are built, wherein the hidden layers of the DBMs are split into a plurality of neural networks, each neural network modeling a different timeframe of crop growth. A plurality of factors related to crop growth are fed into the first DBM, which is trained to produce a first multi-class output of predicted maximum crop yields within a specified overall timeframe. The first multi-class output is fed into the second DBM, which is trained to produce a second multi-class output of predicted crop yields. The second multi-class output is fed into a decision support system that generates a recommended allocation of the farmland among different crops during different timeframes to maximize total yield.
