Mapping and monitoring soil erosion in a watershed in western Algeria

Bouderbala, Djazia; Souidi, Zahira; Donzé, Frédéric; Chikhaoui, Mohamed; Nehal, Laounia

doi:10.1007/s12517-018-4092-3

Cited by 8 publications

(1 citation statement)

References 32 publications

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“…The AISM System takes two input datasets i) dataset observed from the agricultural field and ii) web dataset aggregated with weather forecasting statistics such as temperature and humidity from the webs forecasting portals such as OpenWeather and AccuWeather. The web datasets of the form XML and JSON are examined for the user-specified vicinity and considered for prediction support [16].…”

Section: Figure 1 the Framework Of The Proposed Aism Systemmentioning

confidence: 99%

IoT Enabled Smart Irrigation and Cultivation Recommendation System for Precision Agriculture

Jesi¹,

Kumar²,

Hosen³

et al. 2022

ECS Trans.

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Agriculture is a separate economic sector. In agriculture, India ranks second. Agriculturists stress the need of fertilization and crop rotation. Today's farmers are unable to produce the maximum amount of food due to technological advancements. The major focus should be on using and collaborating with emerging technology in agriculture to boost output. The Internet of Things (IoT) helps estimate crop yields and other factors that contribute to high productivity. Soil temperature, pH, and water level all play a role in delivering optimal crops and increasing productivity. This study proposes "ACRIS: Agriculture Cultivation Recommender and Smart Irrigation System" to help farmers who use IoT in precision agriculture to increase crop output. The ACRIS system has three modules. "Accurate Farming Recommendations Using an Agriculture Factor-based Relevance Vector Analysis Model" is the first ACRIS module. Because of this, our model offers a more favorable situation based on relevant vector analysis. The second module is "AISM System: Advanced Irrigation Planner for Precision Farmers." The module forecasts soil moisture and organizes irrigation for farmers using precision agriculture to decrease water usage and boost productivity. The "AMOP System: ACRIS Multiparameter Optimization Systems for Precision Agriculture" module compares water content at different phases of plant development and integrates IoT technologies into agriculture to ensure optimal crop growth and water stability. The agricultural production is enormous, and it is vital to farmers' income.

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Section: Figure 1 the Framework Of The Proposed Aism Systemmentioning

confidence: 99%