Farmers' Awareness of Agricultural Environmental Risks in Kalabshaw and Zayan Area in Dakahlia Governorate: وعي الزراع بالمخاطر البيئية الزراعية بمنطقة قلابشو وزيان بمحافظة الدقهلية

The research aimed to determine the level of farmers’ awareness about of agricultural environmental risks in new reclamation land association's in kalabshaw and zayan region, in dakahlia governorate by determining the level of farmers' awareness of causes of spread of agricultural environmental risks, as well as their awareness level of damage which caused by it, In addition to identify their awareness of spread rate agricultural environmental risks, and resulting damage from it, as well as the strengths, weaknesses, opportunities and challenges available to farmers to confront agricultural environmental risks in search area. The research was conducted on 337 farmers who were selected randomly and systematically from farmers of new reclamation landassociation's in kalabshaw and zayan region. Data were collected by using a questionnaire, pretest was done until it became valid for collected data during March and April 2021. Morgan and Krejcie equation had been used to determine the sample size. Frequencies, percentages, rang, mean, standard deviation were used to present and analysis study data. The main results are as follows 1- More than two- fifths of farmers 42.4 % Their awareness level of reasons agricultural environmental risks spread was high.. 2- Two- fifths of farmers 40.7 % Their awareness level of awareness of damage which caused by agricultural environmental risks was high. 3- Two- fifths of farmers 40.4 % Their awareness level of diffusion rate agricultural environmental risks spread was high. 4- More than one- third of farmers 38.3 % Their awareness level of extent damage caused agricultural environmental risks spread was high 5- The most important aspects of strengths of farmers to face agricultural environmental risks were: Be careful to adjust dates of cultvited some crops, especially vegetables, to reduce sides effects of climate change 89%. 6- The most important aspects of weaknesses of farmers to face agricultural environmental risks were: Climate changes led to decrease productivity of some crops and increase food prices by 88.4%. 7- The most important aspects of opportunities of farmers to face agricultural environmental risks were: attuide towards to contract farming to prevent the exploitation of traders 89%. 8- The most important aspects of the challenges faced of farmers to face agricultural environmental risks were: The difficult economic conditions such as rise in land rent and rise prices of production requirements by 90.5%.

Post-Harvest Handling and Losses of Green Chilies: A Case Study from Bhutan

This study assessed post-harvest activities and post-harvest losses of green chili farming in Kabjisa, Punakha, Bhutan. Data came from interviewing 75 chili-growers selected via proportionate random sampling. Most farmers were found selling fresh chili (green chili). Few farmers produced blanched, dried, and powdered chilies for self-consumption. Most grown chili varieties were Wookup ema, Indian chili, and Yangtsep ema. Farmers mostly harvested chilies manually during the daytime in a bucket. The majority of the farmers have sorted and graded chilies based on disease infection, damaged parts, and size. Chilies are usually packed and stored for a night before the sale. Most chili losses occurred during harvesting, followed by marketing and sorting. The price of fresh chilies had to discount significantly during the peak season as farmers could not process chilies into other products. Hence, supporting farmers with dryer, cold storage, chili value addition infrastructure, and contract farming would minimize chili losses.

The Selection of the Best Deal for Sweet Potato Contract Farming under Directing of Multinomial Logit Model: An Application of the Theory of Planned Behavior

The purposes of this study are based upon the theory of planned behavior (TPB) to examine the impact of past experiences of contract farming on selecting a specific type of contract farming in the future and then compare different psychological factors in the TPB for different potential contract farmer statuses. These statuses include homesteaders, farmers from cooperative farms, farmers from production and sales teams, professional farmers, and brokers. The impact of factors in the TPB for a particular contract type on potential contract farmers is further to compute. To this end, data are collected in three major sweet potato production areas in Taiwan. The results show that the farmers’ past contract farming experience does not influence the selection of the contract in the future. As for the selection of contract type, strengthening the perception and motivating the behavioral intention of contract farming for cooperative farms will increase the probability of selecting an unclassified sweet potato size contract. On the other hand, enhancing perceived behavioral control factors and behavioral intention factors for professional farmers and brokers is apt to have a relatively high probability of selecting those types involving the highest amount or the best price to obtain the best deal.

Factors Influencing Participation of Farmer in Contract Farming in Narsingdi District of Bangladesh

Aims: Contract farming (CF) has been used extensively to integrate agricultural value chain both in the developed and developing countries. Participation in CF is associated with increased farm productivity and farmer income. Therefore, the purpose of this study was to analyze socio-economic factors affecting farmer’s participation in contract farming. Study Design: The selected 15 socio-economic factors were used to determine the impact on farmer’s participation in contract farming. Besides, the socio-demographic profile of the farmers in the study area was discussed. Place and Duration of Study: The study was conducted upon contract and non-contract farmers of Shibpur upazila under Narsingdi district of Bangladesh. The duration of the study was from July, 2019 to December, 2020. Methodology: The study used nationally-representative data of smallholder vegetable farmers in Shibpur upazila of Narsingdi district. The data were collected from 75 contract farmer and 125 non-contract farmer of Shibpur upazila. Binary logistic regression was used to analyze fifteen factors that potentially affected farmers’ decision to participate in CF and descriptive statistics were used to analyze the socio-demographic profile of the farmer. Results: The study found that farmers education, wife’s occupation, family size, labor, fertilizer use, training, savings and income were the significant factors in the model and farmers occupation, other family member's occupation, income source, land type, size of land, experience and storage place were non-significant predictors using P<0.01 and P<0.05 threshold. Conclusion: Farmer’s education, female head's occupation, family size, land type, size of land holdings, labor use, type of fertilizers being used, training or technical knowledge and average monthly income of the respondents had a positive influence on farmer’s decision.