I'm excited to announce the availability of a Python version of the CWSI and transpiration module/class originally developed in C++ for embedded systems (see this post: 𝗕𝗶𝗼𝗽𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝘀 𝗳𝗼𝗿 𝗖𝗪𝗦𝗜 & 𝗧𝗿𝗮𝗻𝘀𝗽𝗶𝗿𝗮𝘁𝗶𝗼𝗻 𝗖𝗮𝗹𝗰𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀 (𝗖++)).
𝗪𝗵𝗮𝘁 𝗶𝘀 𝗖𝗪𝗦𝗜?
CWSI is a reliable indicator of plant water stress, offering a valuable alternative or complement to traditional soil moisture and soil water potential sensors.
𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗧𝗿𝗮𝗻𝘀𝗽𝗶𝗿𝗮𝘁𝗶𝗼𝗻
𝗔𝗰𝘁𝘂𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗽𝗶𝗿𝗮𝘁𝗶𝗼𝗻 (𝗧𝗮): The amount of water a plant loses through its leaves to the surrounding air.
𝗣𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗽𝗶𝗿𝗮𝘁𝗶𝗼𝗻 (𝗧𝗽): The maximum amount of water a plant could lose under ideal conditions.
𝗕𝗶𝗼𝗽𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵
By taking a biophysical approach, these models are designed to be site-independent, making them potentially applicable to a wide range of crops. However, crop-specific calibration might be necessary for optimal performance.
𝗜𝗻𝗽𝘂𝘁 𝗗𝗮𝘁𝗮:
𝗧𝗽 𝗠𝗼𝗱𝗲𝗹: Microclimate parameters (air temperature, solar radiation, relative humidity, wind speed)
𝗧𝗮 𝗠𝗼𝗱𝗲𝗹 𝗮𝗻𝗱 𝗖𝗪𝗦𝗜: Canopy surface temperatures in addition to microclimate data
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