Mango fruit is in high demand. So, the timely control of mango plant diseases is necessary to
gain high returns. Automated recognition of mango plant leaf diseases is still a challenge as …

Crop prescription data contains an extensive amount of information on crops, environment
and pests, and has notable diagnostic capabilities. At present, there is lack of feasible …

Powdery mildew is the most commonly observed disease of tomato plants, which affects its
quality and productivity. On-time treatment with an optimized amount of fungicides spray can …

Plant diseases can severely degrade the quality and productivity of any crop. Hence, an
automated forecasting model can be developed to help the farmers and agricultural experts …

Epistasis effects are depicted as interactions between different single nucleotide
polymorphism (SNPs). It plays an essential role to recognise the individual susceptibility to …

Estimation of soil temperature is of great importance because of its great effects on plant
development, yield increase, chemical and biological activities in the soil. This paper …

The basic idea behind the Internet of Things (IoT) is to connect every physical Thing to the
Internet. IoT adds ability in Things to sense and communicate with other Things. One of the …

Currently, deep learning applications in tomato disease recognition are becoming
widespread. However, in greenhouse tomato cultivation environments, many techniques …

Astragalus strictus (Fabaceae) is one of the major locoweeds commonly found in Tibet,
China. In 2021 and 2022, the occurrence of powdery mildew on A. strictus leaves was …

Plant diseases can cause significant losses to agricultural productivity; therefore, their early
prediction is much needed. So far, many machine learning-based plant disease prediction …