Forecasting plant and crop disease: an explorative study on current algorithms

G Fenu, FM Malloci - Big Data and Cognitive Computing, 2021 - mdpi.com
Every year, plant diseases cause a significant loss of valuable food crops around the world.
The plant and crop disease management practice implemented in order to mitigate …

Soil toxicity prediction and recommendation system using data mining in precision agriculture

M Pawar, G Chillarge - 2018 3rd international conference for …, 2018 - ieeexplore.ieee.org
India is agricultural land. India ranks second worldwide in agriculture output, but GDP share
is declining. There are many factors contribute for declining agriculture GDP which are …

IoT-Driven Machine Learning for Precision Viticulture Optimization

C Pero, S Bakshi, M Nappi… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Precision agriculture (PA), also known as smart farming, has emerged as an innovative
solution to address contemporary challenges in agricultural sustainability. A particular sector …

[HTML][HTML] Towards detecting crop diseases and pest by supervised learning

DC Corrales, JC Corrales… - Ingeniería y Universidad, 2015 - scielo.org.co
The climate change has caused threats to agricultural production; the extremes of
temperature and humidity, and other abiotic stresses are contributing factors to the etiology …

Smart solutions for maize farmers: Machine learning-enabled web applications for downy mildew management and enhanced crop yield in India

G Jadesha, E Castelino, P Mahadevu… - European Journal of …, 2025 - Elsevier
Increasing use of machine-learning (ML) algorithms in plant disease forecasting is one-way
to reduce the global crop yield losses caused by plant pathogens. This study focuses on …

Forecasting models for Covid-19 cases of turkey using artificial neural networks and deep learning

Y Eroğlu - Endüstri Mühendisliği, 2020 - dergipark.org.tr
Governments face a dilemma between public health and the economy while making
strategic decisions on health during a pandemic outbreak. It is of great importance to …

Artificial vision on edge IoT devices: a practical case for 3D data classification

C Wisultschew, A Otero, J Portilla… - … XXXIV Conference on …, 2019 - ieeexplore.ieee.org
Nowadays, with the huge advance of sensor technology and the increase of the amount of
data generated by them, techniques have to be developed to be able to process all this …

Disease and insect pest forecasting model of greenhouse winter jujube based on modified deep belief network

S Zhang, C Zhang, J Ding - Transactions of the Chinese Society …, 2017 - ingentaconnect.com
The diseases and insect pests of greenhouse winter jujube are one of the main factors that
restrict the yield and quality of winter jujube. The timely prediction of the jujube diseases and …

结合知识图谱与双向长短时记忆网络的小麦条锈病预测.

张善文, 王振, 王祖良 - … of the Chinese Society of Agricultural …, 2020 - search.ebscohost.com
针对现有小麦条锈病预测方法没有利用病害发生因素之间的语义信息, 存在预测难度大,
准确率低等问题, 利用知识图谱(Knowledge Graph, KG) 和双向长短时记忆网络(Bi-directional …

Corn pests and diseases prediction using linear regression and natural spline methods

I Syarif, DH Indiarto, I Prasetyaningrum… - … on Applied Science …, 2018 - ieeexplore.ieee.org
Food self-sufficiency is a strategic plan that has been set by the Indonesian government to
achieve zero hunger for all Indonesian people. One way to achieve it is by improving the …