Computers and Electronics in Agriculture 

TL;DR: A survey of 40 research efforts that employ deep learning techniques, applied to various agricultural and food production challenges indicates that deep learning provides high accuracy, outperforming existing commonly used image processing techniques.

TL;DR: In this article, convolutional neural network models were developed to perform plant disease detection and diagnosis using simple leaves images of healthy and diseased plants, through deep learning methodologies.

TL;DR: In this article, the authors present a review of the currently used technologies that can be used for developing a ground-based sensor system to assist in monitoring health and diseases in plants under field conditions.

TL;DR: An overview on recent development of wireless sensor technologies and standards for wireless communications as applied to wireless sensors for agriculture and food industry is presented.

TL;DR: In this article, the authors provide an overview of worldwide development and current status of precision-agriculture technologies based on literatures generated mainly during the past two years, including natural resource variability; variability management; management zone; impact of precision agriculture technologies on farm profitability and environment; engineering innovations in sensors, controls, and remote sensing; information management; worldwide applications and adoption trend of precision agricultural technologies; and potentials of the technologies in modernizing the agriculture in China.