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High-tech farm hand: Husker team builds autonomous planter

LINCOLN, Neb. On a calm April morning, Flex-Ro ambled through a corn plot at about 2 miles per hour. While researchers stood by to help clear obstacles from its path, the robot moved and.

United statesSeth chandlerJohn deereTaylor crossIan tempelmeyerLandon sokolZane rikliCraig chandlerSantosh pitlaUniversity communicationPitla labCollege of engineeringDepartment of biological systems engineeringUniversity of nebraskaRogers memorial farmNational institute

Grant awarded: Xuejun Pan receives USDA NIFA funding to develop biodegradable mulch films made from biomass – eCALS

Grant awarded: Xuejun Pan receives USDA NIFA funding to develop biodegradable mulch films made from biomass – eCALS
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Xuejun panDepartment of biological systems engineeringFood research initiativeBiological systems engineeringBiobased productsFood research

Announcing AFE s Paul Ecke, Jr and Altman Family Scholars

perishablenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from perishablenews.com Daily Mail and Mail on Sunday newspapers.

United statesEl salvadorDominican republicSanta anaCosta ricaAl iskandariyahPaul ecke jrDeena altmanBrian whipkerThomas mitchellJim faustJack boboBrian jacksonMaster in horticulture at west virginia universityZamorano universityVirginia university

Q&A: CALS Associate Dean for Research Troy Runge shares updates, vision for college s research efforts – eCALS

Q&A: CALS Associate Dean for Research Troy Runge shares updates, vision for college s research efforts – eCALS
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United statesTroy rungeDepartment of biological systems engineeringResearch division doUw researchResearch divisionCentral regional association of state directorsBiological systems engineeringAgricultural research stationsWisconsin agricultural experiment stationNorth central regional associationState agricultural experiment stationWisconsin agriculture experiment station

A high-throughput AI method for leaf counting

A plant’s growth is determined by the number of leaves it produces at any given time; this number can guide farmers on optimal cultivation methods. Conventional leaf counting methods, however, rely on manual counting a labor-intensive process usually associated with large uncertainties because of small sample sizes. Researchers have now utilized deep learning to develop a high-throughput leaf-tip counting method that provides highly accurate measurements using crop images from the field.

United statesXiaohai zhanRuibo jiangWei guoScott chapmanChao luYinglun liFred baretShouyang liuAgricultural universityUniversity of queenslandKey laboratory of image processingHuazhong university of scienceSchool of agricultureSchool of agriculturalUniversity of nebraska