SupPlant — AI for Agriculture & Smart Farming Solutions

Managing irrigation effectively requires balancing changing weather conditions, soil types, and the specific physiological needs of different crops. Without precise data, growers often rely on general estimates, which can lead to over-watering, under-watering, or unnecessary crop stress. SupPlant addresses this challenge by combining physical plant and soil measurements with accumulated global agricultural data to generate exact irrigation models. When you use SupPlant's sensor-based offering (SNS), physical sensors installed on your crops constantly measure fruit, trunk, leaf, and soil parameters. A team of human agronomists works alongside the system algorithms to provide weekly insights covering growth rate, stress levels, and water usage. For operations without physical hardware installations, the sensor-less offering (Plant;) utilizes a vast database compiled from over 2200 seasons of crop data across diverse climates and soil types. The underlying algorithm analyzes these data points against specific variables such as phenological stages, climate zones, crop varieties, and irrigation methods to tell you exactly when and how much to irrigate. While the platform provides valuable visibility into crop health and water requirements, it requires engagement with sales and demo scheduling rather than offering instant self-service onboarding. Additionally, implementing the sensor-based option involves physical deployment in your fields, which requires initial setup time and coordination with their team.