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Journal ArticleDOI

Agricultural intensification and damages to human health in relation to agrochemicals: Application of artificial intelligence

TLDR
A lack of education and awareness about the appropriate and safe use of agrochemicals are the main reasons for the overutilization of pesticides and for the negative consequences on human health.
About
This article is published in Land Use Policy.The article was published on 2019-04-01. It has received 120 citations till now. The article focuses on the topics: Pesticide application & Population.

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Citations
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An extensive review on the consequences of chemical pesticides on human health and environment

TL;DR: This review discussed classification, mechanisms, benefits and adverse effects of the pesticides on both human beings and the environment, and some remedial measures to mitigate their toxicity.
Journal ArticleDOI

Extreme weather events risk to crop-production and the adaptation of innovative management strategies to mitigate the risk: A retrospective survey of rural Punjab, Pakistan

TL;DR: In this paper, a survey of 1232 wheat growers from Pakistan, conducted in April and May of 2019, was used to estimate the production risk of wheat farms to weather shocks and the effectiveness of physical, non-physical, and innovative management strategies for reducing crop damages.
Journal ArticleDOI

Extreme weather events risk to crop-production and the adaptation of innovative management strategies to mitigate the risk: A retrospective survey of rural Punjab, Pakistan

- 01 Sep 2022 - 
TL;DR: In this paper , a survey of 1232 wheat growers from Pakistan, conducted in April and May of 2019, the authors estimated the production risk of wheat farms to weather shocks and the effectiveness of physical, non-physical, and innovative management strategies for reducing crop damages.
Journal ArticleDOI

Application of an artificial neural network to optimise energy inputs: An energy- and cost-saving strategy for commercial poultry farms

TL;DR: In this article , the authors used the Levenberg-Marquardt algorithm to find the best topology of the ANN model at a hidden layer consisting of 10 neurons, including the lowest mean absolute percentage error (14.42) and the highest R2 (0.79).
Journal ArticleDOI

The public policy of agricultural land allotment to agrarians and its impact on crop productivity in Punjab province of Pakistan

TL;DR: In this paper, a multistage sampling technique was used to collect data of 384 crop growers by using well-structured questionnaire from two main cop zones of Punjab province of Pakistan.
References
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Journal ArticleDOI

Agricultural sustainability and intensive production practices

TL;DR: A doubling in global food demand projected for the next 50 years poses huge challenges for the sustainability both of food production and of terrestrial and aquatic ecosystems and the services they provide to society.
Journal ArticleDOI

Solutions for a cultivated planet

TL;DR: It is shown that tremendous progress could be made by halting agricultural expansion, closing ‘yield gaps’ on underperforming lands, increasing cropping efficiency, shifting diets and reducing waste, which could double food production while greatly reducing the environmental impacts of agriculture.
Book

Regression Analysis of Count Data

TL;DR: The authors combine theory and practice to make sophisticated methods of analysis accessible to researchers and practitioners working with widely different types of data and software in areas such as applied statistics, econometrics, marketing, operations research, actuarial studies, demography, biostatistics and quantitative social sciences.
Journal ArticleDOI

The Struggle to Govern the Commons

TL;DR: Promising strategies for addressing critical problems of the environment include dialogue among interested parties, officials, and scientists; complex, redundant, and layered institutions; a mix of institutional types; and designs that facilitate experimentation, learning, and change.
Book

Negative Binomial Regression

TL;DR: In this article, the authors introduce the concept of risk in count response models and assess the performance of count models, including Poisson regression, negative binomial regression, and truncated count models.
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