Jehan-Antoine Vayssade

Animal behavior is a critical aspect for a better understanding and management of animal health and welfare. The combination of cameras with artificial intelligence holds significant potential, particularly as it eliminates the need to handle animals and allows for the simultaneous measurement of various traits, including activity, space utilizatio...

We introduce a new dataset for goat detection that contains 6160 annotated images captured under varying environmental conditions. The dataset is intended for developing machine learning algorithms for goat detection, with applications in precision agriculture, animal welfare, behaviour analysis, and animal husbandry. The annotations were performed...

Computer vision is an interesting tool for animal behavior monitoring, mainly because it limits animal handling and it can be used to record various traits using only one sensor. From previous studies, this technic has shown to be suitable for various species and behavior. However it remains challenging to collect individual information, i.e. not o...

In the context of crop and weeds discrimination, different methods are used to detect and classify plants from an acquisition system. Various estimators and descriptors are commonly used to characterize plants within an image. However, the available studies are based on disparate criteria, plants, and acquisition materials which does not allow an a...

Detecting and identifying plants using image analysis is a key step for many applications in precision agriculture (from phenotyping to site specific weed management). Instance segmentation is usually carried on to detect entire plants. However, the shape of the detected objects changes between individuals and growth stages. A relevant approach to...

The objective of this thesis is to develop a way to detect weeds in a field using multispectral images, in order to determine which weeds should be eliminated during the current crop cycle and more particularly at the early stages. The multi-criteria approach focuses on the spatial arrangement, the spectral signature, the morphology and the texture...

L'une des avancées les plus importantes dans le domaine de l'observation de la terre est la découverte des indices spectraux, ils ont notamment prouvé leur efficacité dans la caractérisation des surfaces agricoles, mais ils sont généralement définis de manière empirique. Cette étude basée sur l'intelligence artificielle et le traitement du signal,...

The form of a remote sensing index is generally empirically defined, whether by choosing specific reflectance bands, equation forms or its coefficients. These spectral indices are used as preprocessing stage before object detection/classification. But no study seems to search for the best form through function approximation in order to optimize the...

Remote sensing indices have a wide range of applications in the field of earth observation. The form of a remote sensing index is generally empirically defined, whether by choosing specific reflectance bands, equation forms or its coefficients. These spectral indices are used as preprocessing stage before object detection/classification. But no stu...

The potential of multi-spectral images is growing rapidly in precision agriculture, and is currently based on the use of multi-sensor cameras. However, their development usually concerns aerial applications and their parameters are optimized for high altitudes acquisition by drone (UAV ≈ 50 meters) to ensure surface coverage and reduce technical pr...

Monitoring animal location can be a valuable tool in research and for practical applications, such as health or pasture management. Although GPS is commonly used, other solutions are available, such as RFID or image analysis. Image analysis is a non-invasive technique that has been proved to be useful to monitor animal location , as well as animal...

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master thesis published by inrae (and the final version) the base of "Automatic activity tracking of goats using drone camera", "Outdoor animal tracking combining neural network and time-lapse cameras" and various others contribution within INRAE Guadeloupe and with Mathieu Bonneau >> Automatic acquisition of information on animals is of interest...