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5f, 3-chōme-3-2 Meieki, Nakamura Ward, Nagoya, Aichi 450-0002, Japan
Nagoya
Japan
Employees
Scale: 11-50
Estimated: 22
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1Added in Motherbase
1 year, 7 months agoGather, process and analyze multilayer data to
provide comprehensive precision farming solutions
Predicting Soil to Harvest: Crop Modeling & AI Unlock Sustainable Growth.
Data-driven science reimagines farming, boost yields and optimize costs.
Unique Value Proposition:
What sets ListenField apart? We go beyond simply providing data. We translate complex information into actionable recommendations, guiding you towards:
* Increased yields and optimized costs: Our powerful crop modeling and AI technology unlock the secrets of your soil, enabling you to make informed decisions that maximize yield potential while minimizing resource inputs.
* Reduced environmental impact: By promoting regenerative farming practices and measuring your progress towards sustainability goals, we help you minimize your carbon footprint and contribute to a healthier planet.
* Enhanced resilience: Our platform equips you with the tools to proactively adapt to changing weather patterns and market fluctuations, ensuring long-term success.
* Scalability and flexibility: Our platform is designed to adapt to your specific needs, whether you manage a small farm or a large-scale agribusiness.
* Commitment to sustainability: We are passionate about creating a more sustainable future for agriculture, and we integrate this mission into everything we do.
Join the ListenField Community:
Together, we can build a more resilient and sustainable food system. Contact us today to learn how ListenField can help you achieve your agricultural goals.
Website: http://www.listenfield.com
Decision Support, Analytics, Prediction, Rice, Climate Analytics, Yield Prediction, Crop Cycle, Soil, IoT Integration, Satellite Analysis, Farming, AgriTech, Platform, API, and Dashboard
Soil analysis, Precision farming, Soil to Harvest, Crop modeling, AI, Precision Farming, Regenerative Farming, Multispectral Vision for Farming, Crop health, yield prediction, rice, sugarcane, sweet corn, cassava, potato, South East Asia, FarmAI, Farming Technology, Space Farming, smart farming, NIR