Explainable light-weight deep learning pipeline for improved drought stress identification.

Introduction: Early identification of drought stress in crops is vital for implementing effective mitigation measures and reducing yield loss. Non-invasive imaging techniques hold immense potential by capturing subtle physiological changes in plants under water deficit. Sensor-based imaging data serves as a rich source of information for machine learning and deep learning algorithms, facilitating further analysis that aims to identify drought stress.

A comparative study of the effectiveness of photogrammetric versus manual anthropometric measurements.

Background: The accurate measurement of the human body is essential when it comes to designing agricultural tools and equipment that can effectively accommodate and interact with individuals when performing a task. The traditional method for measuring an individual's body measurements is highly complex and requires two or more skilled individuals and reliable measurement tools. Finding a new approach that is speedier, more precise, and less expensive than current methods is therefore necessary.

Influence of short- and long-term persistence on identification of rainfall temporal trends using different versions of the Mann-Kendall test in Mizoram, Northeast India.

Investigating the temporal dynamics of rainfall in a changing climate, especially in rainfed agriculture regions, is crucial for analyzing climate-induced changes and offering adaptation options. Since Mizoram experiences unfavorable impacts of rain nearly every year, the region rainfall has been altering over the years, and vital climatic activity is becoming uncontrollable. The current study is primarily concerned with the changing trend of rainfall over Mizoram, which includes both short-term persistence (STP) and long-term persistence (LTP) of rainfall in seasonal and annual time series of rainfall overseeing for the period of 25 years of daily average rainfall from 1996 to 2020 collected collectively from the seven stations over the study area of Mizoram.

Groundwater spring potential zonation using AHP and fuzzy-AHP in Eastern Himalayan region: Papum Pare district, Arunachal Pradesh, India.

In the present study, the groundwater spring potential zone (GSPZ) was identified using an integrated approach of remote sensing (RS) and geographic information system (GIS), analytic hierarchy process (AHP), and fuzzy-AHP based on multicriteria decision-making (MCDM). Thus, ten associated factors with groundwater springs have been considered: slope, drainage density, lineament density, geomorphology, lithology, soil texture, land use and land cover, rainfall, groundwater level, and spring discharge. The analysis output was categorized into low, moderate, and high.

Noise exposure and hearing loss among tractor drivers in India.

Background: Tractors emit high intensity noise and prolonged exposure to high intensity noise causes hearing loss to the drivers.

Objective: The aim of this study was to measure noise intensity at the tractor drivers' ear level and hearing loss among tractor drivers.

Methods: Noise intensity was measured on 6 models of tractors which were operated with 5 different tillage implements.

Isometric push and pull strengths of agricultural workers from Northeast India.

Background: In agricultural farming operations, the incompatibility between operators' physical capability and labor demands in the operation of tools and equipment results in a decreased performance, productivity, and safety related measures.

Objective: The aim of this study was to collect a biomechanical database of push/pull strengths for initiating the development of a human-centered design of equipment that is not available for the intended user group, i.e.

A comparative assessment of external morphological traits between Macaca munzala, Tawang and Macaca assamensis, Goalpara population in Northeast India.

The present study aimed to conduct a comparative assessment of the external morphology, relative tail length and colour variation (RGB additive colour model) of Macaca munzala, Tawang and Macaca assamensis, Goalpara (southern Brahmaputra population), using a non-invasive photogrammetry method. The study revealed that the relative tail length of M. munzala (0.

Reaction order and neural network approaches for the simulation of COVID-19 spreading kinetic in India.

COVID-19 has created a pandemic situation in the whole world. Controlling of COVID-19 spreading rate in the social environment is a challenge for all individuals. In the present study, simulation of the lockdown effect on the COVID-19 spreading rate in India and mapping of its recovery percentage (until May 2020) were investigated.

Nonfatal agricultural work-related injuries: A case study from Northeast India.

Background: Occupational injuries are a major problem in agriculture worldwide. In the Northeast region of India, most of the farm operations are carried out manually with hand operated tools and equipment. These tools also cause some nonfatal accidents.

Effect of bulking agents and cow dung as inoculant on vegetable waste compost quality.

The source segregated vegetable waste (VW) was used as main feedstock and locally available organic wastes, such as water hyacinth (WH), garden prune (GP) and sawdust (SD) were used as bulking agents (BAs) to make the compost stable and mature in combination with cow dung (CD) as a source of inoculant. Three trials (T, T & T) were performed with a compost ratio of 6:3:1 (VW:BA:CD) using different BAs. The initial C/N ratio of all the trials was maintained lesser than 23 and composted for 30 days (7 days in rotary drum reactor + 23 days windrowing).

Diet and feeding ecology of the western hoolock gibbon (Hoolock hoolock) in a tropical forest fragment of Northeast India.

Forest fragmentation alters plant species diversity and composition, and causes diverse affects on the feeding behavior of wild primates. We investigated the feeding behavior and diet of two groups of western hoolock gibbon (Hoolock hoolock) inhabiting a small isolated forest patch (21 km) in Hollongapar Gibbon Wildlife Sanctuary, Assam, Northeast India, over a year using focal animal sampling. H.