Comparison between vegetation indices for detecting spatial and temporal variabilities in soybean crop using canopy sensors     

Morlin Carneiro  Franciele  Angeli Furlani  Carlos Eduardo  Zerbato  Cristiano  Candida de Menezes  Patricia  da Silva Gírio  Lucas Augusto  Freire de Oliveira  Mailson 《Precision Agriculture》2020,21(5):979-1007

Precision Agriculture - Crop monitoring through remote sensing techniques enable greater knowledge of average variability in crop growth. Canopy sensors help provide information on the variability...  相似文献   

Use of real-time extend GNSS for planting and inverting peanuts     

dos Santos  Adão Felipe  da Silva  Rouverson Pereira  Zerbato  Cristiano  de Menezes  Patricia Candida  Kazama  Elizabeth Haruna  Paixão  Carla Segato Strini  Voltarelli  Murilo Aparecido 《Precision Agriculture》2019,20(4):840-856

Among the main techniques employed in precision agriculture, yield mapping and automatic guidance of agricultural machines are the best-known to farmers. The objective of this study was to evaluate, using statistical process control tools, the quality of automatic guidance using satellite signals, to reduce positioning errors and losses in peanut digging. The treatments consisted of the use of manual (operator guidance) and automatic (autopilot) guidance with RTX satellite signals in sowing and digging operations. The quality of the operation was evaluated after collection of 30 points spaced at 100 m for each quality indicator, which are the losses and the errors of alignment of the mechanised sets in sowing and digging operations. From the perspective of statistical control, manual guidance was shown to be compromised for the quality indicators of digging losses. Despite the instability in the sowing and digging operations, the use of automatic guidance proved to be accurate. The use of automatic guidance increases the precision and reduces overlaps (<?38 mm, as stipulated by the supplier) for sowing and digging. The manual sowing mean error between overlaps was stable; however, it did not remain constant over time.

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