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1. Diagnosis of grape leaf diseases using automatic K-means clustering and machine learning

Author:
Seyed Mohamad Javidan; Ahmad Banakar; Keyvan Asefpour Vakilian; Yiannis Ampatzidis
Source:
Smart agricultural technology 2023 v.3 pp. 100081
ISSN:
2772-3755
Subject:
crop yield,   etc   ; color; computer vision; disease diagnosis; grapes; leaf blight; leaves; measles; principal component analysis; product quality; support vector machines;     Show all 11 Subjects
Abstract:
... Plant diseases often reduce crop yield and product quality; therefore, plant disease diagnosis plays a vital role in farmers’ management decisions. Visual crop inspections by humans are time-consuming and challenging tasks and, practically, can only be performed in small areas at a given time, especially since many diseases have similar symptoms. An intelligent machine vision monitoring system for ...
DOI:
10.1016/j.atech.2022.100081

2. Comparing the agronomic effectiveness of fertilizers on the basis of the rate of application: An interpretation

Author:
Sen H. Chien
Source:
Agronomy journal 2022 v.114 no.2 pp. 1566-1570
ISSN:
0002-1962
Subject:
crop yield,   etc   ; agronomy; fertilizer rates; fertilizers;     Show all 4 Subjects
Abstract:
... Several recently developed and marketed fertilizers containing S and/or Zn that have been evaluated for their agronomic effectiveness are often compared with the traditional standard fertilizers on the basis of a single high fertilizer rate of the tested nutrient in terms of crop yield. This approach can provide an inaccurate or misleading conclusion that they are as good as or even better than th ...
DOI:
10.1002/agj2.20994

3. Crop Yield and Soil Quality Are Partners in a Sustainable Agricultural System

Author:
Efimia M. Papatheodorou; Nikolaos Monokrousos
Source:
Agronomy 2022 v.12 no.1 pp. -
ISSN:
2073-4395
Subject:
crop yield,   etc   ; agronomy; human health; soil quality;     Show all 4 Subjects
Abstract:
... Agricultural practices involving the excessive use of chemical fertilizers and pesticides pose major risks to the environment and human health [...] ...
DOI:
10.3390/agronomy12010140

4. Estimation of Parameters of Biomass State of Sowing Spring Wheat

Author:
Ilya Mikhayilovich Mikhailenko
Source:
Remote Sensing 2022 v.14 no.6 pp. -
ISSN:
2072-4292
Subject:
crop yield,   etc   ; biomass; dynamic models; spring wheat; vegetation;     Show all 5 Subjects
Abstract:
... The purpose of this work is to present a new method for estimating the parameters of the biomass of agricultural crops based on Earth remote sensing (ERS) data. The method includes mathematical models and algorithms estimation and has been tested on the example of spring wheat sowing. Sowing biomass parameters are the basis for making management decisions aimed at obtaining a given crop yield. Cur ...
DOI:
10.3390/rs14061388

5. Sugarcane yield forecast using weather based discriminant analysis

Author:
S R Krishan Priya; R Keerti Balambiga; Pradeep Mishra; Soumitra Sankar Das
Source:
Smart agricultural technology 2023 v.3 pp. 100076
ISSN:
2772-3755
Subject:
crop yield,   etc   ; discriminant analysis; sugarcane; technology; weather; India;     Show all 6 Subjects
Abstract:
... Discriminant function analysis has been used for forecasting of Sugarcane yield of Coimbatore district in Tamilnadu. Crop yield has been classified into two and three groups. Using this crop yield and monthly data on weather variables,discriminant function analysis has been carried out. The scores calculated from function this along with the trend have used as regressors in developing yield foreca ...
DOI:
10.1016/j.atech.2022.100076

6. Assessment of nozzle control strategies in weed spot spraying to reduce herbicide use and avoid under- or over-application

Author:
Sylvain Villette; Thibault Maillot; Jean-Philippe Guillemin; Jean-Paul Douzals
Source:
Biosystems engineering 2022 v.219 pp. 68-84
ISSN:
1537-5110
Subject:
crop yield,   etc   ; herbicide use reduction; herbicides; risk; weed control; weeds;     Show all 6 Subjects
Abstract:
... Spot spraying is a method that can meet the objectives of reduced herbicide by maintaining a high level of weed control efficiency without lowering crop yield and harvest quality. Individual nozzle control systems show great potential for herbicide reduction. Nevertheless, this method of application also entails the risk of under-application on weed surfaces because of the lack of spray overlap an ...
DOI:
10.1016/j.biosystemseng.2022.04.012

7. From plant immunity to crop disease resistance

Author:
Yan Zhao; Xiaobo Zhu; Xuewei Chen; Jian-Min Zhou
Source:
Journal of genetics and genomics 2022 pp. -
ISSN:
1673-8527
Subject:
crop yield,   etc   ; disease resistance; food security; genetic improvement; genomics; immunity;     Show all 6 Subjects
Abstract:
... Plant diseases caused by diverse pathogens lead to serious reduction in crop yield and threaten food security worldwide. Genetic improvement of plant immunity is considered as the most effective and sustainable approach to control crop diseases. In the last decade, our understanding of plant immunity at both molecular and genomic levels has improved greatly. Combined with advances in biotechnologi ...
DOI:
10.1016/j.jgg.2022.06.003

8. Multisensor Data and Cross-Validation Technique for Merging Temporal Images for the Agricultural Performance Monitoring System

Author:
Venkata Kanaka Srivani Maddala; K. Jayarajan; M. Braveen; Ranjan Walia; Patteti Krishna; Sivakumar Ponnusamy; Karthikeyan Kaliyaperumal
Source:
Journal of food quality 2022 v.2022 pp. -
ISSN:
1745-4557
Subject:
crop yield,   etc   ; energy; equations; food quality; remote sensing; yield forecasting;     Show all 6 Subjects
Abstract:
... Many approaches for crop yield prediction were analyzed by countries using remote sensing data, but the information obtained was less successful due to insufficient data gathered due to climatic variables and poor image resolution. As a result, current crop yield estimation methods are obsolete and no longer useful. Several attempts have been made to overcome these difficulties by combining high p ...
DOI:
10.1155/2022/9575423

9. Harnessing phytomicrobiome signals for phytopathogenic stress management

Author:
Akanksha Sharma; Meenakshi Raina; Deepak Kumar; Archana Singh; Samira Chugh; Shalu Jain; Manoj Kumar; Anjana Rustagi
Source:
Journal of biosciences 2022 v.47 no.1 pp. 6
ISSN:
0250-5991
Subject:
crop yield,   etc   ; biotic stress; disease resistance; phytobiome; plant pathogens; stress management;     Show all 6 Subjects
Abstract:
... Harnessing the phytomicrobiome offers a great opportunity to improve plant productivity and quality of food. In the recent past, several phytomicrobiome microbes have been explored for their potential involvement in increasing crop yield. This review strategically targets to harness the various dimensions of phytomicrobiome for biotic stress management of crop plants. The tripartite interaction in ...
DOI:
10.1007/s12038-021-00240-9

10. Implementation of drone technology for farm monitoring & pesticide spraying: A review

Author:
Abdul Hafeez; Mohammed Aslam Husain; S.P. Singh; Anurag Chauhan; Mohd. Tauseef Khan; Navneet Kumar; Abhishek Chauhan; S.K. Soni
Source:
Information processing in agriculture 2022 pp. -
ISSN:
2214-3173
Subject:
crop yield,   etc   ; agricultural industry; agriculture; farms; information; modernization; pesticides; precision agriculture;     Show all 8 Subjects
Abstract:
... The world receives more than 200 thousand people in a day and it is expected that the total world population will reach 9.6 billion by the year 2050. This will result in extra food demand, which can only be met from enhanced crop yield. Therefore, modernization of the agricultural sector becomes the need of the hour. There are many constraints that are responsible for the low production of crops, ...
DOI:
10.1016/j.inpa.2022.02.002

11. Phages of phytopathogenic bacteria: High potential, but challenging application

Author:
Nataliia Korniienko; Alla Kharina; Iryna Budzanivska; Lenka Burketová; Tetiana Kalachova
Source:
Plant Protection Science v.58 no.2 pp. 81-91
ISSN:
1212-2580
Subject:
crop yield,   etc   ; bacterial infections; bacteriophages; bioactive properties; phage therapy; plant protection;     Show all 6 Subjects
Abstract:
... Phytopathogenic bacteria are one of the most significant causes of crop yield losses. Until now, the direct treatment of bacterioses was limited to the application of antibacterial compounds or resistance inducers. This is about to change due to the revolutionary discovery of phages. Indeed, bacteriophages look very promising as therapy agents: cheap, self-amplifying, self-eliminating, and safe fo ...
DOI:
10.17221/147/2021-pps

12. A composite drought index developed for detecting large-scale drought characteristics

Author:
Muhammad Abrar Faiz; Yongqiang Zhang; Xuanze Zhang; Ning Ma; Santosh K. Aryal; Trinh Thi Viet Ha; Faisal Baig; Farah Naz
Source:
Journal of hydrology 2022 v.605 pp. 127308
ISSN:
0022-1694
Subject:
crop yield,   etc   ; corn; drought; evapotranspiration; latitude; longitude; runoff; soil water; wheat; China;     Show all 10 Subjects
Abstract:
... Numerous studies have projected that drought will become more severe under changing climatic conditions which will have a profound impact on terrestrial ecosystems around the world. While a wide range of drought indices has been extensively applied to assess droughts, various issues have been raised, such as over- or underestimation of drought conditions, feature extraction techniques, or transfor ...
DOI:
10.1016/j.jhydrol.2021.127308

13. A new agro-hydrological catchment model to assess the cumulative impact of small reservoirs

Author:
Nicolas Lebon; Cécile Dagès; Delphine Burger-Leenhardt; Jérôme Molénat
Source:
Environmental modelling & software 2022 v.153 pp. 105409
ISSN:
1364-8152
Subject:
crop yield,   etc   ; basins; computer software; groundwater; runoff; streams; water management; water shortages;     Show all 8 Subjects
Abstract:
... Small-reservoir development is a challenging issue in agricultural catchments facing water scarcity. An integrated, new and original agro-hydrological model considering small reservoirs, MHYDAS-Small-Reservoirs, is presented. The model explicitly represents relevant spatial scales (plot, small-reservoir, stream reach, groundwater, and catchment scales) and the agronomic and hydrological links betw ...
DOI:
10.1016/j.envsoft.2022.105409

14. Assessing the effects of climate change and political instability on sorghum production: Empirical evidence from Somalia

Author:
Abdimalik Ali Warsame; Ibrahim Abdukadir Sheik-Ali; Osman M. Jama; Abdullahi Abdirahman Hassan; Galad Mohamed Barre
Source:
Journal of cleaner production 2022 v.360 pp. 131893
ISSN:
0959-6526
Subject:
crop yield,   etc   ; climate change; crop diversification; farm labor; politics; rain; temperature; Somalia;     Show all 8 Subjects
Abstract:
... Climate change induces a devastating effect on agricultural production in Somalia leading to crop yield to decline including sorghum. To this end, this study aims to ascertain the long-term and casual impacts of climate change – rainfall and temperature – on sorghum production in Somalia for the 1980–2017 period while accounting for the role of political instability, land under sorghum production, ...
DOI:
10.1016/j.jclepro.2022.131893

15. Deep transfer learning based photonics sensor for assessment of seed-quality

Author:
Puneet Singh Thakur; Bhavya Tiwari; Abhishek Kumar; Bhavesh Gedam; Vimal Bhatia; Ondrej Krejcar; Michal Dobrovolny; Jamel Nebhen; Shashi Prakash
Source:
Computers and electronics in agriculture 2022 v.196 pp. 106891
ISSN:
0168-1699
Subject:
crop yield,   etc   ; agriculture; electronics; germination; imbibition; photonics; plant establishment; seed quality; vibration;     Show all 9 Subjects
Abstract:
... Seed-quality is one of the most important factors for achieving the objectives of uniform seedling establishment and high crop yield. In this work, we propose laser backscattering and deep transfer learning (TL) based photonics sensor for automatic identification and classification of high-quality seeds. The proposed sensor is based on capturing a single backscattered image of a seed sample and pr ...
DOI:
10.1016/j.compag.2022.106891

16. Plant DNA Methylation Responds to Nutrient Stress

Author:
Xiaoru Fan; Lirun Peng; Yong Zhang
Source:
Genes 2022 v.13 no.6 pp. -
ISSN:
2073-4425
Subject:
crop yield,   etc   ; DNA methylation; abiotic stress; epigenetics; iron; nitrogen; phosphorus; sulfur; zinc;     Show all 9 Subjects
Abstract:
... Nutrient stress as abiotic stress has become one of the important factors restricting crop yield and quality. DNA methylation is an essential epigenetic modification that can effectively regulate genome stability. Exploring DNA methylation responses to nutrient stress could lay the foundation for improving plant tolerance to nutrient stress. This article summarizes the plant DNA methylation patter ...
DOI:
10.3390/genes13060992

17. Analysis of climate change impact on resource intensity and carbon emissions in protected farming systems using Water-Energy-Food-Carbon Nexus

Author:
Pu Reun Yoon; Sang-Hyun Lee; Jin-Yong Choi; Seung-Hwan Yoo; Seung-Oh Hur
Source:
Resources, conservation, and recycling 2022 v.184 pp. 106394
ISSN:
0921-3449
Subject:
crop yield,   etc   ; carbon; climate change; energy; irrigation rates; models; resource management; temperature; uncertainty;     Show all 9 Subjects
Abstract:
... As the uncertainty and importance of securing resources increase, the nexus concept is used for integrated sustainable use management planning. In particular, because protected farms are most affected by temperature change, the connection between the heating temperature variable and resources must be analyzed. In this study, a water-energy-food-carbon nexus model that reflected the agricultural ch ...
DOI:
10.1016/j.resconrec.2022.106394

18. Bayesian Multi-modeling of Deep Neural Nets for Probabilistic Crop Yield Prediction

Author:
Peyman Abbaszadeh; Keyhan Gavahi; Atieh Alipour; Proloy Deb; Hamid Moradkhani
Source:
Agricultural and forest meteorology 2022 v.314 pp. 108773
ISSN:
0168-1923
Subject:
crop yield,   etc   ; Bayesian theory; artificial intelligence; forests; meteorology; neural networks; soybeans; yield forecasting;     Show all 8 Subjects
Abstract:
... An imperative aspect of agricultural planning is accurate yield prediction. Artificial Intelligence (AI) techniques, such as Deep Learning (DL), have been recognized as effective means for achieving practical solutions to this problem. However, these approaches most often provide deterministic estimates and do not account for the uncertainties involved in model predictions. This study presents a f ...
DOI:
10.1016/j.agrformet.2021.108773

19. Beat the heat: plant- and microbe-mediated strategies for crop thermotolerance

Author:
Kirti Shekhawat; Marilia Almeida-Trapp; Gabriel X. García-Ramírez; Heribert Hirt
Source:
Trends in plant science 2022 v. no. pp. -
ISSN:
1360-1385
Subject:
crop yield,   etc   ; epigenetics; growth and development; heat; heat stress; heat tolerance; plant growth;     Show all 7 Subjects
Abstract:
... Heat stress (HS) affects plant growth and development, and reduces crop yield. To combat HS, plants have evolved several sophisticated strategies. The primary HS response in plants involves the activation of heat-shock transcription factors and heat-shock proteins (HSPs). Plants also deploy more advanced epigenetic mechanisms in response to recurring HS conditions. In addition, beneficial microbes ...
DOI:
10.1016/j.tplants.2022.02.008

20. Dominant sources of uncertainty in simulating maize adaptation under future climate scenarios in China

Author:
Mingxia Huang; Jing Wang; Bin Wang; De Li Liu; Puyu Feng; Qiang Yu; Xuebiao Pan; Siyi Li; Tengcong Jiang
Source:
Agricultural systems 2022 v.199 pp. 103411
ISSN:
0308-521X
Subject:
crop yield,   etc   ; altitude; climate; climate change; corn; crop models; cultivars; latitude; uncertainty; China;     Show all 10 Subjects
Abstract:
... The potential of climate adaptation has been widely investigated with a climate-crop modeling approach. Although different sources of uncertainty in projected crop yields have been quantified in climate change impact assessments, uncertainty in simulating the crop adaptation to future climate has not been fully assessed. The objective of this study was to determine the uncertainty in simulating ma ...
DOI:
10.1016/j.agsy.2022.103411