Random Forest–Based Integrated Crop Recommendation and NPK-Driven Fertilizer Decision Support System for Precision Agriculture
构建随机森林作物推荐与NPK施肥决策支持系统，实现精准农业选种施肥。
阅读 0
关键词 · 相关资讯与研究
#施肥决策
沿着“施肥决策”继续探索，共 0 条内容。
你可能还想看
没有这个标签，内容接近Nitrogen-centered nutrient innovation for decoupling agricultural productivity from greenhouse-gas intensity: evidence, limits, and implementation pathways
综述氮素创新技术能否在保障产量的同时降低农业温室气体强度，并评估证据与实施就绪度。
阅读 2
Precision Agriculture Approaches for Nutrient Management in Maize: A Comprehensive Review of Productivity, Efficiency and Economic Benefits
综述玉米精准养分管理在生产力、效率与经济效益上的证据与局限。
阅读 1
Explainable Machine Learning Framework for Soil Moisture Stress Assessment and Irrigation Decision Support
构建可解释机器学习框架，预测次日土壤湿度并支持灌溉决策。
阅读 1
Automated Leaf Color Chart (LCC)-BasedNitrogen Fertilizer Recommendation UsingPaddy Leaf Image Color Classification
用深度学习对水稻叶片颜色分级，并结合多模态大模型实时推荐氮肥用量。
阅读 2
Comparative analysis of gradient boosting and random forest regressors for nutrient prediction in smart agriculture
比较梯度提升与随机森林回归器，用水培传感器数据预测氮磷钾浓度。
阅读 1
Machine-Learning Surrogate Modeling of SOC and N2O Responses to Diversified Crop Rotations in the Texas High Plains
用机器学习代理模型预测多样化轮作对SOC和N2O的影响，识别气候智能管理区域。
2 个信源阅读 5
Nitrogen management on coarse Sandy soils: A DSSAT-based mechanistic evaluation of controlled-release and conventional fertilizers for maize
Nitrogen management on coarse Sandy soils: A DSSAT-based mechanistic evaluation of controlled-release and conventional fertilizers for maize。Agricultural Systems
阅读 1