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(Digital Trends) Lulu Chang - By applying techniques in deep learning, computer vision, and data science, the Tel Aviv-based machine learning company Prospera hopes to transform farming "from an intuition-based practice to an optimized data-based practice." Prospera uses in-field cameras and climatic sensors to create what the company claims is "uniquely accurate remote agronomy and management solutions" for farmers across the globe. Prospera promises to help farmers analyze crops "from a leaf by leaf basis to a multi-field multi-crop basis," which ought to help address issues like pests, disease, irrigation, and nutrient deficiencies.2016-08-02 00:00:00Full Article
Israeli Firm Uses In-Field Cameras and Climatic Sensors to Address Farm Problems
(Digital Trends) Lulu Chang - By applying techniques in deep learning, computer vision, and data science, the Tel Aviv-based machine learning company Prospera hopes to transform farming "from an intuition-based practice to an optimized data-based practice." Prospera uses in-field cameras and climatic sensors to create what the company claims is "uniquely accurate remote agronomy and management solutions" for farmers across the globe. Prospera promises to help farmers analyze crops "from a leaf by leaf basis to a multi-field multi-crop basis," which ought to help address issues like pests, disease, irrigation, and nutrient deficiencies.2016-08-02 00:00:00Full Article
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