Precision agriculture: exploration of deep learning models for farmland mapping
Anjela Cabrera Tolentino,
Thelma D. Palaoag
Abstract:Precision is required for agricultural advancements to be sustainable. Traditional farming lacks effective monitoring, resulting in resource waste and environmental problems. Farmland mapping is important for agricultural management and land-use planning. The use of deep learning techniques in farmland mapping is increasing rapidly. Excellent results have been generated from deep learning approaches in a number of applications, such as image processing and prediction. Agricultural agencies are now considering … Show more
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