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AgroClimate Indonesia

Meteorological intelligence for optimal agricultural planning and management across the Indonesian archipelago

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Indonesia Meteorological Map

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Current Weather

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Soil Conditions

Forecast

Agricultural Insights

Microclimate Analysis

Field Temperature Air temperature at 2 meters above ground, crucial for plant growth rates.
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Apparent Temperature How the temperature actually feels to a plant, combining humidity and wind effects.
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Dew Point The temperature at which air becomes saturated. High dew points indicate moist air and can affect disease risk.
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Surface Pressure Atmospheric pressure at the location, influenced by altitude and weather systems.
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Evapotranspiration

Evapotranspiration Combined water loss from soil evaporation and plant transpiration. Indicates crop water demand.
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Vapour Pressure Deficit The 'thirst' of the air. A high VPD means the air is dry and pulls more water from plants, increasing stress.
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Cloud Cover Percentage of the sky covered by clouds, affecting sunlight available for photosynthesis.
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Visibility How far one can see. Low visibility (haze/fog) can reduce light and affect plant processes.
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Wind & Atmospheric

Wind Speed (10m) Wind speed at 10 meters. High winds can cause physical damage and increase water loss.
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Wind Gusts Sudden, brief increases in wind speed that can cause lodging or stem breakage.
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CAPE Convective Available Potential Energy - measures atmospheric instability and thunderstorm potential.
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Convective Inhibition Measures atmospheric stability. High CIN can suppress the formation of thunderstorms.
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Radiation & UV

Shortwave Radiation The main energy from the sun that drives photosynthesis. Higher values mean more energy for growth.
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UV Index Strength of sunburn-producing ultraviolet radiation. High UV can stress plants.
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UV Index (Clear Sky) The maximum potential UV Index on a clear day without clouds.
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Lifted Index Another measure of atmospheric stability. Negative values indicate potential for thunderstorms.
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Connected to Open-Meteo API | Using real-time weather data

AI Crop Advisor

Select a province and crop to receive personalized agricultural recommendations.

Crop Health Index

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Select Province & Crop
References:
  • Indicator data according to foundational agrometeorological principles outlined in sources like Allen et al.'s (1998) FAO paper on crop evapotranspiration and extensive data from the FAO's Ecocrop database (2024). Specific data for staple foods are informed by guidelines from specialized international centers such as the International Rice Research Institute (IRRI, 2021), the International Maize and Wheat Improvement Center (CIMMYT, 2018) for maize, and the International Potato Center (CIP, 2019) for tubers. For major plantation and horticultural crops, the model incorporates findings from key academic and industry texts, including Corley & Tinker's (2016) work on the oil palm, DaMatta's (2004) review of coffee ecophysiology, Carr's (2012) research on tea, Heuvelink's (2005) studies on tomatoes, and Sinclair & Purcell's (2005) guide for tropical soybean production. This international data is then localized and validated against practical guidelines and research bulletins from Indonesian institutions like the Ministry of Agriculture (Kementerian Pertanian, 2022) and the Indonesian Agency for Agricultural Research and Development (Balitbangtan, 2020-2024), with broad pest and environmental tolerance data cross-referenced with comprehensive online resources like the CABI Crop Protection Compendium (2024) to ensure relevance to the archipelago's specific conditions.