【摘要】 通过整理相关的研究数据，建立了基于2个层次、4个一级指标和20个二级指标的农业绿色智慧发展水平评价体系和神经网络样本集。基于该样本集对极限学习机算法进行训练，建立了基于极限学习机算法的农业绿色智慧评价系统模型。并使用测试数据集对极限学习机的预测性能进行测试。测试结果表明，该评价模型可以对农业绿色智慧发展水平进行有效的预测，具有一定的应用价值和产业化前景。更多还原

【Abstract】 The evaluation system of agricultural green intelligent development level based on 2 levels, 4 first-level indicators and 20 second-level indicators and neural network sample set were established by collating relevant research data. Based on this sample set, the extreme learning machine algorithm is trained, and the agricultural green intelligent evaluation system model based on the extreme learning machine algorithm is established. The predictive performance of the extreme learning machine is tested with the test data set. The test results show that the evaluation model can predict the development level of agriculture green intelligent effectively, and has certain application value and industrialization prospect.更多还原