Sensors (Basel, Switzerland)

The Science of the total environment

[1] Coupling Waveguide-Based Micro-Sensors and Spectral Multivariate Analysis to Improve Spray Deposit Characterization in Agriculture.

[2] May smart technologies reduce the environmental impact of nitrogen fertilization? A case study for paddy rice.

[3] Machine Learning in Agriculture: A Review

[4] Combining Evapotranspiration and Soil Apparent Electrical Conductivity Mapping to Identify Potential Precision Irrigation Benefits

[5] Spectral Identification of Disease in Weeds Using Multilayer Perceptron with Automatic Relevance Determination

[6] Smart Palm: An IoT Framework for Red Palm Weevil Early Detection

[7] Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review

[8] Metrology for Agriculture and Forestry 2019

[9] IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture

[10] mapping crop planting quality in sugarcane from uav imagery: a pilot study in nicaragua

[11] cacao crop management zones determination based on soil properties and crop yield

[12] variação espacial da resposta do milho à adubação nitrogenada de cobertura em lavoura no cerrado spatial variation of corn response to nitrogen topdressing in a cerrado crop field

[13] multi-modal detection and mapping of static and dynamic obstacles in agriculture for process evaluation

[14] testing the temporal ability of landsat imagery and precision agriculture technology to provide high resolution historical estimates of wheat yield at the farm scale

[15] theoretical substantiation of the design of a seeding device for differentiated intra soil application of mineral fertilizers

[16] intercomparison of uav, aircraft and satellite remote sensing platforms for precision viticulture

[17] discriminação entre estágios nutricionais na cultura do trigo com técnicas de visão artificial e medidor portátil de clorofila machine vision techniques and multivariate classifiers for nitrogen fertilization doses discrimination in wheat

[18] Relationship between Remote Sensing Data, Plant Biomass and Soil Nitrogen Dynamics in Intensively Managed Grasslands under Controlled Conditions

[19] Deep Learning Predictor for Sustainable Precision Agriculture Based on Internet of Things System

[20] Farmers perceptions of precision agriculture and the role of agricultural extension: a case study of crop farming in the Schweizer-Reneke region, South Africa

[21] Optical Sensing Methods for Assessment of Soil Macronutrients and other Properties for Application in Precision Agriculture:A review

[22] Work-in-Progress: Contemporary Barriers Faced by Precision Agriculture, New Paradigms and Proposals for Future Advance

[23] Recent advancements in multimedia big data computing for IoT applications in precision agriculture: Opportunities, issues, and challenges

[24] Energy efficiency in a wireless sensor network (WSN): Case study in precision agricultures

[25] From wild harvest towards precision agriculture: Use of Ecological Niche Modelling to direct potential cultivation of wild medicinal plants in Crete.

[26] Power Reduction with Sleep/Wake on Redundant Data (SWORD) in a Wireless Sensor Network for Energy-Efficient Precision Agriculture

[27] Power Reduction with Sleep/Wake on Redundant Data (SWORD) in a Wireless Sensor Network for Energy-Efficient Precision Agriculture

[28] Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review

[29] IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture

[30] IoT and AI in Precision Agriculture: Designing Smart System to Support Illiterate Farmers

[31] processing and use of satellite images in order to extract useful information in precision agriculture

[32] variabilidade espacial de atributos do solo para adoção do sistema de agricultura de precisão na cultura de cana-de-açúcar assessment of spatial variability of soil attributes as a basis for the adoption of precision agriculture in sugarcane plantations

[33] testing the temporal ability of landsat imagery and precision agriculture technology to provide high resolution historical estimates of wheat yield at the farm scale

[34] CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture

[35] Deep Learning Predictor for Sustainable Precision Agriculture Based on Internet of Things System

[36] Machine Vision Retrofit System for Mechanical Weed Control in Precision Agriculture Applications

[37] Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture