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View article: From Time-series Generation, Model Selection to Transfer Learning: A Comparative Review of Pixel-wise Approaches for Large-scale Crop Mapping
From Time-series Generation, Model Selection to Transfer Learning: A Comparative Review of Pixel-wise Approaches for Large-scale Crop Mapping Open
Crop mapping involves identifying and classifying crop types using spatial data, primarily derived from remote sensing imagery. This study presents the first comprehensive review of large-scale, pixel-wise crop mapping workflows, encompass…
View article: Climate change threatens water resources for major field crops in the Serbian Danube River Basin by the mid-21st century
Climate change threatens water resources for major field crops in the Serbian Danube River Basin by the mid-21st century Open
Study region: Serbian Danube River Basin Study focus: As climate change makes weather patterns more erratic, water supply for agriculture is becoming increasingly uncertain. This is concerning in the Serbian Danube River Basin, where crops…
View article: Machine Learning-Based Harvest Date Detection and Prediction Using SAR Data for the Vojvodina Region (Serbia)
Machine Learning-Based Harvest Date Detection and Prediction Using SAR Data for the Vojvodina Region (Serbia) Open
Information on the harvest date of crops can help with logistics management in the agricultural industry, planning machinery operations and also with yield prediction modelling. In this study, the determination and prediction of harvest da…
View article: Using Data-Driven Computer Vision Techniques to Improve Wheat Yield Prediction
Using Data-Driven Computer Vision Techniques to Improve Wheat Yield Prediction Open
Accurate ear counting is essential for determining wheat yield, but traditional manual methods are labour-intensive and time-consuming. This study introduces an innovative approach by developing an automatic ear-counting system that levera…
View article: Multi-annual crop maps reveal cropping patterns in the Vojvodina region (Serbia)
Multi-annual crop maps reveal cropping patterns in the Vojvodina region (Serbia) Open
Cropping patterns give useful information in agriculturalproduction from the perspective of logistics and pricing.In this study, a machine learning classification model basedon Random Forest algorithm and Sentinel-2 imagery was usedto prov…
View article: Cracking Ground Truth Barriers: Harnessing the Power of Transfer Learning for Crop Mapping
Cracking Ground Truth Barriers: Harnessing the Power of Transfer Learning for Crop Mapping Open
Transfer learning (TL) is rapidly gaining popularity in recent years in various research disciplines due to its practicality, temperate need for resources, and often quite promising results. The same principle applies for Earth observation…
View article: Interseasonal transfer learning for crop mapping using Sentinel-1 data
Interseasonal transfer learning for crop mapping using Sentinel-1 data Open
Crop maps are highly desired information in modern agriculture as they enable possessors to manage their business in the most optimal way. Usually in remote sensing, crop mapping is performed using satellite images and within-season ground…
View article: Using Sentinel-1 data for soybean harvest detection in Vojvodina province, Serbia
Using Sentinel-1 data for soybean harvest detection in Vojvodina province, Serbia Open
Information on crop harvest events has become valuable input for models related to food security and agriculturalmanagement and optimization. Precise large scale harvest detection depends on temporal resolution and satelliteimages availabi…
View article: FlexiGroBots - Blueberry orchard UAV dataset August 2022 - raw data
FlexiGroBots - Blueberry orchard UAV dataset August 2022 - raw data Open
This data represents the UAV image acquisition from August 2022 in blueberry orchards located in Babe, Serbia. This is the first part of larger dataset, that contains raw images and orthomosaics generated using these images. Raw images are…
View article: FlexiGroBots - Blueberry orchard UAV dataset August 2022 - raw data
FlexiGroBots - Blueberry orchard UAV dataset August 2022 - raw data Open
This data represents the UAV image acquisition from August 2022 in blueberry orchards located in Babe, Serbia. This is the first part of larger dataset, that contains raw images and orthomosaics generated using these images. Raw images are…
View article: Animal Detection and Counting from UAV Images Using Convolutional Neural Networks
Animal Detection and Counting from UAV Images Using Convolutional Neural Networks Open
In the last decade, small unmanned aerial vehicles (UAVs/drones) have become increasingly popular in the airborne observation of large areas for many purposes, such as the monitoring of agricultural areas, the tracking of wild animals in t…
View article: Monitoring of agricultural drought using Crop Moisture Stress index and the estimation of resulting maize yield reduction
Monitoring of agricultural drought using Crop Moisture Stress index and the estimation of resulting maize yield reduction Open
The drought in south-eastern Europe in the summer of 2017 heavily affected agricultural production, subsequently decreasing yields of maize. The European Drought Observatory provides Combined Drought Indicator for a 10-day period with coar…
View article: FlexiGroBots - Blueberry orchard UAV dataset May 2022
FlexiGroBots - Blueberry orchard UAV dataset May 2022 Open
This data represents the UAV-image acquisition from May 2022 in blueberry orchards located in Babe, Serbia. In order to align different channels, registration was applied and because of uneven illumination during the acquisition process, i…
View article: FlexiGroBots - Blueberry orchard UAV dataset May 2022
FlexiGroBots - Blueberry orchard UAV dataset May 2022 Open
This data represents the UAV-image acquisition from May 2022 in blueberry orchards located in Babe, Serbia. In order to align different channels, registration was applied and because of uneven illumination during the acquisition process, i…
View article: Availability of Satellite Based Digital Surface Models – Comparison of ALOS-AW3D and ASTER-GDEM Data over Serbia
Availability of Satellite Based Digital Surface Models – Comparison of ALOS-AW3D and ASTER-GDEM Data over Serbia Open
Quality of land cover mapping, as well as result of many other Earth observation studies can be highly affected by inherent terrain complexity. In order to cope with and overcome these difficulties there is a need for additional informatio…
View article: Spectral reflectance indices as a phenotyping tool for assessing morpho-physiological traits of winter wheat (Triticum aestivum L.)
Spectral reflectance indices as a phenotyping tool for assessing morpho-physiological traits of winter wheat (Triticum aestivum L.) Open
Morpho-physiological traits of wheat such as a grain weight per plant, total leaf chlorophyll content, carotenoids, relative dry matter and nitrogen content are important traits for the growth of winter wheat genotypes. However, methods to…
View article: Farm management information systems as tools for revealing management zones inside the fields
Farm management information systems as tools for revealing management zones inside the fields Open
INTRODUCTION and OBJECTIVES: There is a huge need to increase the productivity in agriculture to feed the world’s growing population. However, this increase needs to be achieved in a sustainable way, without jeopardising the ecosystem and …
View article: Soya Yield Prediction on a Within-Field Scale Using Machine Learning Models Trained on Sentinel-2 and Soil Data
Soya Yield Prediction on a Within-Field Scale Using Machine Learning Models Trained on Sentinel-2 and Soil Data Open
Agriculture is the backbone and the main sector of the industry for many countries in the world. Assessing crop yields is key to optimising on-field decisions and defining sustainable agricultural strategies. Remote sensing applications ha…
View article: Behavioural Classification of Cattle Using Neck-Mounted Accelerometer-Equipped Collars
Behavioural Classification of Cattle Using Neck-Mounted Accelerometer-Equipped Collars Open
Monitoring and classification of dairy cattle behaviours is essential for optimising milk yields. Early detection of illness, days before the critical conditions occur, together with automatic detection of the onset of oestrus cycles is cr…
View article: Regional soil moisture prediction system based on Long Short-Term Memory network
Regional soil moisture prediction system based on Long Short-Term Memory network Open
In the context of climate change, drought has been recognised as one of the most severe threats for agricultural production since absence of water is one of the most limiting factors for the growth of plants. In this study, a regional syst…
View article: Digital Services for Farmers based on Sentinel-2 Satelllite Images and Advanced Machine Learning
Digital Services for Farmers based on Sentinel-2 Satelllite Images and Advanced Machine Learning Open
This paper tackles two critical tasks in precision agriculture – management zone delineation and yield prediction.
View article: FlexiGroBots - Blueberry orchard UAV dataset
FlexiGroBots - Blueberry orchard UAV dataset Open
FlexiGroBots - Blueberry orchard UAV dataset Acquisition date: 02.07.2021. Location: Babe, Serbia Dataset consists of UAV drone images: - 6 channels: reflectance blue, reflectance green, reflectance red, reflectance red edge, reflectance N…
View article: FlexiGroBots - Blueberry orchard UAV dataset
FlexiGroBots - Blueberry orchard UAV dataset Open
FlexiGroBots - Blueberry orchard UAV dataset Acquisition date: 02.07.2021. Location: Babe, Serbia Dataset consists of UAV drone images: - 6 channels: reflectance blue, reflectance green, reflectance red, reflectance red edge, reflectance N…