A new computer program for orchard planning, which can provide maximal profit in specific local conditions, is developed by a team from Krasnodar supported by the Russian Foundation for Basic Research and Foundation for Assistance to Small Innovative Enterprises. Recommendations offered by the program are based on the data on environmental conditions and soil-climatic requirements of orchard trees, and primarily, stone fruit crops (apricot, peach, cherry).
Potential yields of various fruit crops in a certain soil-climatic situation can be estimated using computer software developed by the horticulturists from Krasnodar (North Caucasus) on the basis of a vast data bank, digital maps, and GIS application for viewing and creating such maps. These materials were provided by scientists from Krasnodar, Moscow, and Obninsk, and the work was supported by the Russian Foundation for Basic Research and Foundation for Assistance to Small Innovative Enterprises.
This project will help orchard farmers to avoid massive losses in lean years. They will even forget about bad harvests and failure of crops, because recommended crops will be just optimal for planting in the local climate and soil conditions. Besides, if one crop fails, the loss can be covered by the yield of another crop, i.e., the program provides a kind of insurance to farmers.
Sergey Komarov | alfa
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A multi-institutional research collaboration has created a novel approach for fabricating three-dimensional micro-optics through the shape-defined formation of porous silicon (PSi), with broad impacts in integrated optoelectronics, imaging, and photovoltaics.
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The Max Planck Institute for Physics (MPP) is opening up a new research field. A workshop from November 21 - 22, 2016 will mark the start of activities for an innovative axion experiment. Axions are still only purely hypothetical particles. Their detection could solve two fundamental problems in particle physics: What dark matter consists of and why it has not yet been possible to directly observe a CP violation for the strong interaction.
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