<p>Low-cost multispectral sensors have recently been commercialized, paving the way for decision support in a wide variety of agricultural applications (fertilization, grass cover management, etc.). Such sensors have seldom been tested for agricultural applications taking into account practical constraints (external environment, expected accuracy, etc.). This study proposes to investigate the measurement characteristics of the “AS7265x” (by AMS) which, with 18 spectral bands ranging from blue to near infrared light and a low cost, presents a real potential for a wide range of applications in agriculture, and especially in viticulture. This work proposes a holistic approach including tests of the “AS7265x” in controlled conditions to validate the measurement characteristics in terms of accuracy, repeatability and reproducibility as well as experiments carried out in the field to validate the potential of the sensor in assessing agronomic information in outdoor conditions. Three different “AS7265x” sensors were tested in controlled conditions to assess the accuracy and the repeatability of the 18 different spectral bands as well as the reproducibility of the measurements from one sensor to another. To assess the sensor’s suitability for field applications, two experiments were conducted using different vegetation indices (VIs). The first experiment involved proximal sensing to estimate weed coverage on the soil surface, categorized into five classes ranging from class 1 (0–20%) to class 5 (80–100%), and to evaluate plant vigor using the NDVI. The second experiment utilized contact mode with active light to estimate the nitrogen status of grapevine leaves using four adapted VIs: BGI, SIPI, NI_Tian, and NI_Wang. These two applications were chosen to explore the potential of the large diversity of wavebands available on the sensor as well as different acquisition modes (proximal detection, contact detection). For both experiments, results were compared to specific sensors intended as reference for the considered measurements. Regarding measurement characteristics in controlled conditions, results show that although accurate, the sensors present some bias specific to each spectral band and each sensor. These drawbacks require each sensor to be specifically calibrated before use which may limit their dissemination in agriculture. Once calibrated, results of proximal NDVI measurements performed with the sensor are consistent when compared to a Greenseeker (R²=0.87 for NDVI &lt; 0.75). The sensor also allows to discriminate significantly (<i>p</i> &lt; 0.05) two levels of vine vigour when plants were grown in different conditions. Regarding the measurement of nitrogen status, the sensor shows a good correlation (R² = 0.78) between NI_Wang index and the NBI reference value observed with the Dualex sensor. This work highlights the potential of “AS7265x” sensor to access objective agronomic information. It also highlights its limitations when it comes to acquire reference data. In this case, the quality of the sensor requires a calibration procedure specific to each sensor for each waveband.</p>