Agriculture

Breakthroughs in computer vision for precision agriculture

Agricultural yield prediction using Deep Learning

Technology breakthrough and availability of new datasets are changing forever the world of agriculture. Software solutions using Deep Learning makes it possible for farm managers to produce accurate yield estimates on a simple smartphone or tablet. This precision agriculture solution is made available by pioneering software from RSIP Vision.

Robots using Machine Vision in Agriculture

Among the many tasks performed by robots in agriculture, a large part is activated by machine vision algorithms. A very partial list of these tasks would include fields plowing, seeds planting, weeds handling, monitoring of produce growth (be it via ground-based robots or by flying robotic UAVs), fruits and vegetables picking, as well as sorting and grading of produce. This article gives a panoramic view of what our algorithms for robotics can do for your project in agriculture, including robots using Deep Learning in agriculture.

Grading and sorting

RSIP Vision develops advanced deep learning software for fast and accurate grading and sorting of agricultural produce. One of the key benefits of this solution is its ability to effectively detect existing features and defects, to predict which items will last longer (and therefore can be shipped far away) and which items should be retained for the local market. Sorting and grading machines based on deep learning yield a consistent performance. They are the state-of-the-art solution we recommend today for applications of this kind.

Tree Detection and Related Applications in Forestry

Using aerial images taken by drone, plane or satellite, RSIP Vision can create forestry image processing and analysis software to efficiently determine: Trees detection Automatic

Animal Health Monitoring

Animal Health Monitoring – Body Condition Scoring For a long time, farmer’s objective was to get the highest milk production from their cows, while feeding them

Phenotyping

Phenotyping Phenotyping, in general, is a process by which different traits of a plant, such as nitrogen consumption, yield, and dimensions, are assessed. Knowledge regarding

Date sorting

RSIP Vision has successfully worked in number of dates grading (or dates sorting) projects for our clients. Our automatic fruit recognition system is able to identify with high speed and accuracy all meaningful product features such as size, weight, defect, quality, color, texture, ripeness and others, offering key benefits to our clients: namely, fast and high-volume classification, savings in labor costs, consistent quality and reduced time-to-market.

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Agriculture

Agricultural yield prediction using Deep Learning