The use of new technologies in precision agriculture remains a solution for global demographic change and its food needs in the face of climate change. The experiment was based on the vegetative cycle monitoring of a "Spunta" variety potato crop grown at different inter-lines, spacing and planting depths based on the RGB imaging technique using a sophisticated drone-mounted sensor. In order to improve the production system and adapt it to the context of global warming through the different settings on the potato planter machine, vegetation indices have been calculated from the captured images such as the GA, GGA, CSI, NGDRI et TGI indices, indicators of the plant biomass and its healthy state thus leading to a correct decision in terms of nutrient input and phytosanitary treatment. The following factors combination of inter-row spacing, plant spacing and planting depth IL = 90 cm, IP = 28 cm, and P = 10 cm respectively proved potato size and yield better results.
Erosion is the most dangerous phenomenon of environmental and economic threat to arable land. By FAO. 35 % of Tunisian land are threatened by water erosion and varies regionally. Quantification and estimation of soil loss by water erosion is now essential to install the best management practices. In our study, we used a continuous physical based simulation version of a hydrological and water erosion model ANSWERS-2000. The aim of this study is to investigate the introduction of land use parameters extracted by MODIS image. This study is focused on El Azire watershed, is characterized by a moderate Mediterranean climate and a high spatial heterogeneity of soil and land use proprieties. Describing, monitoring, and predicting land-use and land-cover change in the watershed is a difficult process. However, the usefulness of MODIS image with their daily temporal resolution and spatial resolutions of 250 m and 500 m can make utilization of continuous physical-based models easier for great scale watersheds. A sensitivity analysis was conducted on each application such that the variability in erosion map output and can be assessed and incorporated into the interpretation of results with an acceptable level of confidence.
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