Integrating plant morphological traits with remote-sensed multispectral imageries for accurate corn grain yield prediction.

Sustainable crop production requires adequate and efficient management practices to reduce the negative environmental impacts of excessive nitrogen (N) fertilization. Remote sensing has gained traction as a low-cost and time-efficient tool for monitoring and managing cropping systems. In this study, vegetation indices (VIs) obtained from an unmanned aerial vehicle (UAV) were used to detect corn (Zea mays L.

Evaluation of woodchips-amended biosand filter for nitrate and MS2 bacteriophage reduction.

In this study, two types of woodchip-amended biosand filters (Filter A sand: woodchip = 33%: 67% versus Filter B sand: woodchip = 50%: 50%, by volume) were constructed, and their abilities to remove MS2 bacteriophage and nitrate were investigated. The results indicated that Filter A and Filter B could reduce nitrate up to 40 and 36%, respectively, indicating that the nitrate reduction increased with the increase in woodchip proportion. The study underscores a positive correlation between nitrate reduction and proportional increase in woodchip content, implying the potential for fine-tuning nitrate removal by varying sand-woodchip compositions.