An approach for pesticide loss estimation adapted to field crops in Mediterranean conditions.
2010
Bahrouni, H. | Sinfort, C. | Hamza, E. | Institut National de Recherche en Génie Rural Eaux et Forêts (INRGREF) ; Ecole Nationale du Génie Rural, des Eaux et des Forêts (ENGREF)-Institution de la Recherche et de l'Enseignement Supérieur Agricoles [Tunis] (IRESA) | Information – Technologies – Analyse Environnementale – Procédés Agricoles (UMR ITAP) ; Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre national du machinisme agricole, du génie rural, des eaux et forêts (CEMAGREF) | Institut National Agronomique de Tunisie (INAT)
[Departement_IRSTEA]Ecotechnologies [TR1_IRSTEA]INSPIRE
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Mostrar más [+] Menos [-]Inglés. During chemical crop spraying, important pesticide amounts are transferred to the environment, with negative impacts on the ecosystem, the health and the economy. Tunisian crops are sprayed in extreme conditions (high temperature and low humidity) and with low technology machines. The amounts of lost pesticide are unknown and a combined approach between experimentation and modeling has been chosen to evaluate the amount of lost products. Firstly, a modeling approach has been initiated to develop a drift model witch is able to estimate droplets transport and volatilization depending on wind speed, nozzle type and service pressure. To evaluate evaporation and volatilization, the wind tunnel results are compared with measurements under a mobile ramp in uncontained conditions. It is expected that these results confirm the general wind tunnel tendency and they can assess volatilization. Losses on ground under plants and the retention are estimated by studying the effect of the height nozzles, the driving speed and the. Thus, many tests were implemented under the mobile ramp in laboratory conditions. The experimental methodology was developed with aims to confirm the model estimation and mobile ramp results. For this, the obtained results in wind tunnel and under the laboratory conditions are compared to the field data. This paper objective is to present the elaborate approach.
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