Remote Sensing Application and Machine Learning Approach to Estimate the Availability of Local Food: A Case Study of Urban Area in Indonesia
Remote sensing technology has many applications in agriculture, including monitoring and
analyzing local food systems in urban areas. In urban environments, space is often limited …
analyzing local food systems in urban areas. In urban environments, space is often limited …
Bibliometric Analysis on Identifying Plant, Crop Diseases Using Machine Learning and Deep Learning
CV Raghavendran, R Bheema Rao… - … in electronics and …, 2023 - ebooks.iospress.nl
This paper is intended to explore the research done on identifying the diseased plants and
crops using Machine Learning (ML) and Deep Learning (DL) techniques during last 10 …
crops using Machine Learning (ML) and Deep Learning (DL) techniques during last 10 …
[PDF][PDF] Comparative Performance Analysis of Real-Time Methods for Cassava Phytoplasma Disease (CPD) Detection based on Deep Learning Neural Networks
Cassava Phytoplasma Disease (CPD) is a crop disease that reduces cassava output and
quality. As a result, detection is essential in precision agriculture. On the greater area of the …
quality. As a result, detection is essential in precision agriculture. On the greater area of the …
Development of Integrated Solar-Powered Wireless Smart IoT-based Water Level Monitoring Embedded System
Agriculture has undergone a significant transformation in recent years, driven by
technologies such as the Internet of Things (IoT) and mobile internet. These advancements …
technologies such as the Internet of Things (IoT) and mobile internet. These advancements …