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Harvest Forecasting System Product List

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SML Technology Co., Ltd. for Agriculture

Manufacturing that contributes to the improvement of the global environment and is beneficial to society.

In the agricultural sector, climate change and the effective use of resources can potentially impact crop growth and yield. In particular, accurate harvest forecasts are crucial for planned cultivation management and supply to the market. Uncertain forecasts can lead to harvest losses and missed opportunities. SML-Technology Co., Ltd. supports sustainable development in agriculture through product development aimed at environmental improvement. 【Usage Scenarios】 - Harvest forecasts considering the impact of climate change - Efficient resource utilization planning - Production planning aligned with market trends 【Benefits of Implementation】 - Improved accuracy of harvest forecasts - Optimization of production planning - Contribution to reducing environmental impact

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  • Harvest Forecasting System

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AI Deason for Agriculture

Create business ideas that contribute to harvest forecasting from technological seeds.

In the agricultural sector, improving the accuracy of yield forecasts is essential for stabilizing management and efficiently allocating resources. Especially in the context of increasing risks from climate change and pests and diseases, accurate predictions lead to appropriate measures and maximization of profits. AI Deason will utilize your technological seeds to create business ideas that contribute to harvest forecasting. 【Utilization Scenarios】 - Analysis of agricultural data - Development of growth prediction models - Early detection of pest and disease risks 【Effects of Implementation】 - Optimization of yield - Reduction of production costs - Strengthening of risk management

  • EAI/ETL/WEB application server
  • Harvest Forecasting System

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[For Agriculture] RTS (Responsive Tightening System)

Equipped with 40 torque levels, 7 flash levels, and dual speed!

In the agricultural sector, yield forecasting is essential for planned production and efficient resource allocation. To achieve accurate yield predictions, it is necessary to thoroughly understand the growth conditions of crops and perform necessary tasks at the appropriate timing. However, traditional measurement methods have posed challenges due to their labor-intensive and time-consuming nature. The RTS (Responsive Tightening System) enables precise data collection and analysis, contributing to improved accuracy in yield forecasting. 【Application Scenarios】 - Monitoring crop growth conditions - Predicting harvest timing - Optimizing yield 【Effects of Implementation】 - Maximization of yield - Improvement of work efficiency - Reduction of wasted resources

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  • Other work tools
  • Power tools
  • Harvest Forecasting System

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