Sensor-based sowing machinery for precision farming
نویسندگان
چکیده
منابع مشابه
A Sensor Web-Enabled Infrastructure for Precision Farming
The use of sensor technologies is standard practice in the domain of precision farming. The variety of vendor-specific sensor systems, control units and processing software has led to increasing efforts in establishing interoperable sensor networks and standardized sensor data infrastructures. This study utilizes open source software and adapts the standards of the Open Geospatial Consortium to...
متن کاملPrecision Farming
Agricultural production system is an outcome of a complex interaction of seed, soil, water and agro-chemicals (including fertilizers). Therefore, judicious management of all the inputs is essential for the sustainability of such a complex system. The focus on enhancing the productivity during the Green Revolution coupled with total disregard of proper management of inputs and without considerin...
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Precision farming, precision agriculture or site-specific management (SSM) is a management system where crop production practices and inputs such as seed, fertilizers and pesticides are variably applied within a field. Input rates are based on the needs for optimum production at each within-field location. Since over-application and under-application of agrochemicals are both minimized, this st...
متن کاملGps Navigation for Precision Farming
a DIIAR c/o Polo of Como, Politecnico of Milan, Piazza Leonardo Da Vinci 32, 20133 Milano, Italy [email protected] b DIMeC, University of Modena and Reggio Emilia, via Vignolese 905/B, 41100 Modena, Italy (marco.dubbini, capra.alessandro, cristina.castagnetti)@unimore.it c Department of Mathematics, University of Modena and Reggio Emilia, Via Campi 213/B, 41100 Modena, Italy francesco.un...
متن کاملNeural Network-Based Software for Fertilizer Optimization in Precision Farming
A novel technique for providing fertilizer recommendation in precision agriculture is proposed. The method is based on the maximization of the profit function approximated using a decision support system based on artificial neural networks. The sofhyare implementation of the proposed approach is described and its use is illustrated on simulated realistic data. Experimental results suggest that ...
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ژورنال
عنوان ژورنال: International Journal of Chemical Studies
سال: 2020
ISSN: 2349-8528,2321-4902
DOI: 10.22271/chemi.2020.v8.i2a.9259