For many years, on-farm yield evaluations of corn (Zea mays L.) hybrids were done with weigh wagons, handheld moisture testers, and measuring wheels. Today, most combines have continuous flow yield and moisture sensors. Published research results comparing the accuracy of combine-mounted sensor systems with that of weigh wagons are limited for on-farm corn hybrid evaluation. This study examined...

The growth of the entire population in world and scarcity food crops are most challenging concept nowadays for solving these challenges, new mechanization like artificial intelligence, Internet Things mobile internet used this above-mentioned real- life problem. From 2019 onwards, a current perspective regarding Intelligent Agronomy has been focused on. For smart system, Thing (IoT) is column p...

In modern agriculture, the application of nano fertilizers is increasing productivity and stability different crops by reducing destructive effects abiotic stresses. The particles are significant for their particle shape, potential reactivity, tunable pore size high surface area. A pot experiment was conducted at Department Agronomy, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Ga...

Abstract Modern agriculture needs proper solutions to face the current trend of pesticides and fertilizers reduction. One available leverages support this transition is use bioproducts that are more environmentally friendly less hazardous for human health. Among them, blue biotechnology precisely seaweed microalgae gain interest every year in scientific community. In agriculture, seaweeds (Macr...

Maize (Zea mays L.) is one of the most versatile emerging crops having wider adaptability under varied agro-climatic conditions. Globally maize Known as “Queen cereals” because it has highest genetic yield potential among cereals To find out best Genotype hybrids, a field experiment was conducted during kharif season 2022 at experimental Crop Research Farm, Department Agronomy, Naini Agricultur...

Center for Plant Science Innovation, Beadle Center for Biotechnology (L.Y., Y.D., C.Z., D.R.H.), Department of Agronomy and Horticulture (L.Y., D.R.H.), and School of Biological Sciences (Y.D., C.Z.), University of Nebraska, Lincoln, Nebraska 68588; and United States Department of Agriculture-Agricultural Research Service Cereal Disease Laboratory, University of Minnesota, St. Paul, Minnesota 5...

1School of Computer Science and Technology, Tianjin University, Tianjin 300354, China 2Institute of Informatics, Silesian University of Technology, 44-100 Gliwice, Poland 3Department of Mathematics and Statistics and Department of Agronomy, Horticulture, and Plant Science, BioSNTR, South Dakota State University, Brookings, SD 57007, USA 4Center for Bioinformatics and Systems Biology, Wake Fores...

2-1 Volume Three FORMATION AND STABILITY OF SUBSTITUTED PYROMORPHITE: A MOLECULAR MODELING STUDY Abhijit V. Shevade, Larry Erickson, Gary Pierzynski, and Shaoyi Jiang Department of Chemical Engineering, Kansas State University, Manhattan, KS 66506; Phone: 785-532-5584; Fax: 785-532-7372; Department of Agronomy, Kansas State University, Manhattan, KS 66506; Phone: 785-532-7209; Fax: 785-532-6094.

United States Department of Agriculture-Agricultural Research Service Plant Science Research Unit, St. Paul, Minnesota 55108 (D.A.S.); Department of Plant Pathology, University of Minnesota, St. Paul, Minnesota 55108 (D.A.S.); United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research Unit, Ames, Iowa 50011 (M.A.G.); and Department of Agronomy,...

BY-PLANT PREDICTION OF CORN GRAIN YIELD USING OPTICAL SENSOR READINGS AND MEASURED PLANT HEIGHT Kent Martin a , William Raun b & John Solie c a Agronomy Department, Kansas State University, Garden City, Kansas, USA b Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, Oklahoma, USA c Department of Biosystems and Agricultural Engineering, Oklahoma State University, Stil...